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Seminario Manuel Higueras
El nodo Castilla-La Mancha - OED ha organizado en el Instituto Cultura y Sociedad (Universidad de Navarra) el seminario: Diseño óptimo de curvas de calibración para biodosimetría citogenética impartido por Manuel Higueras (Instituto Vasco de Matemáticas- Centro Severo Ochoa)
Seminario Stella Salvatierra
El nodo Castilla-La Mancha - OED ha organizado en el Instituto Cultura y Sociedad (Universidad de Navarra) el seminario: Modelos de clasificación impartido por Stella Salvatierra (Facultad de Económicas, Universidad de Navarra)
Seminario Prof. Jesús López Fidalgo
El nodo Castilla-La Mancha - OED ha organizado en el Instituto Cultura y Sociedad (Universidad de Navarra) el seminario: Batallas entre el diseño óptimo de experimentos y el mundo real impartido por Jesús López-Fidalgo (Unidad de Estadística, ICS).
QUEEN ELIZABETH HOSPITAL BIRMINGHAM
Summary of Skills, Experience and Qualifications • Medical statistician, computer scientist or health informatician / Clinician with considerable expertise in statistical modelling. • Skilled in data linkage and survival analysis methods. • Experience in clinical or basic research in relation to cardiovascular and/or kidney disease, renal access or peripheral arterial disease is preferable. • Applicants should have a PhD or at least 4 years research experience. Candidates with more than 10 years research experience will not be eligible for this position. • The researcher would be a Marie Curie Fellow funded by a grant under the European FP7 programme. As a requirement of the grant this position is open only to researchers who have not been resident or having their main activity in the UK for more than 12 months in the last 3 years before recruitment. Summary of Job Purpose & Principal Duties A fixed term one year postdoctoral research fellowship is available in an international collaborative European project entitled ReDVA: Development of hemodynamic solutions in Renal Dialysis Venous Access Failure (http://www.redva.eu). ReDVA is a joint research programme capitalising on the knowledge and expertise of the partners through exchanges of researchers and transfers of knowledge between research centres at the University of Dundee (project coordinator), Queen Elizabeth Hospital Birmingham, University of Limerick, and two companies Guerbet SA and the SME Vascular Flow Technologies Ltd. The aim of the project is to overcome the scientific and technical barriers to the understanding, development and adoption of technologies to combat the significant clinical problem of the failure of renal dialysis venous access. The research for this fellowship will be undertaken at the Queen Elizabeth Hospital Birmingham (QEHB), United Kingdom. The successful applicant will be working within the informatics team at QEHB to extract data from established local databases and electronic patient records, and link these local data with records from the national Health Episode Statistics database. The linked dataset will be used to develop multistate models to predict survival of renal access. Data linkage and model development will be done in collaboration with the Health e-Research Centre (www.herc.ac.uk) in Manchester. The project would give the fellow excellent links into a European network with an opportunity to develop further studies into a high volume, high importance clinical disease area for which a strong evidence-base is currently lacking. For further information please contact Dr Nick Inston ( Nicholas.Inston2@uhb.nhs.uk ; Consultant surgeon, Renal Surgery and Transplantation, Queen Elizabeth Hospital Birmingham) or Dr Niels Peek ( niels.peek@manchester.ac.uk ; Reader in Health Informatics, Health e-Research Centre, University of Manchester).
Associate or Full Professor in Statistics and Biomedical Sciences
The Department of Statistics and the Division of Biomedical Sciences at theUniversity of California Riverside are seeking to hire a new faculty memberat the rank of Associate or Full Professor. The successful candidate will beappointed 50% in the Department of Statistics, College of Natural andAgricultural Sciences and 50% in the Division of Biomedical Sciences, Schoolof Medicine.We are looking for an accomplished research scientist in one or more of anumber of specific areas including: Discrete Data Analysis, High DimensionalData Analysis, Nonparametric Statistics, Survival Analysis, Image Analysis,or Functional Data Analysis.  The School of Medicine will initially beinvolved in community-based research requiring expertise in experimental andquasi-experimental designs, multivariate analysis, sampling, modeling,imputation and novel measurement approaches. Preference will be given tocandidates who have demonstrated excellence running an independentStatistics methodology research program, including development of, andparticipation in, externally funded research as a principal investigator orco-principal investigator, and experience with supporting medical dataanalyses. A strong teaching record, including doctoral student dissertationmentoring is als o desired. Finally, the successful candidate should becommitted to a collaborative approach to research within a medical school aswell as teaching at both the undergraduate as well as the graduate level.The new School of Medicine at UCR is the sixth University of CaliforniaMedical School and serves the rapidly growing and dynamic Inland SouthernCalifornia region by training a much-needed physician workforce andcatalyzing innovations in research, education, and healthcare delivery thatimprove the health of medically underserved populations. The Department ofStatistics was established in 1968 and resides in the College of Natural andAgricultural Sciences. The Departm ent of Statistics has a long tradition ofcollaborative research in the life sciences, which together with the Schoolof Medicine, provides an exceptional environment for interdisciplinaryresearch on a variety of health-related initiatives. The University ofCalifornia Riverside is situated in an historic citrus growing areasurrounded by mountain ranges. Riverside is about an hour away from skislopes, surfing, or hiking in mountain or desert environments, and housingin the area is very affordable. The campus is also located in a primeposition to take advantage of the other universities, research institutes,and biotech industries present in Southern California.Qualified candidates must have a Ph.D. in Statistics or Biostatistics or asimilar statistically-oriented discipline and qualify for a tenured facultyappointment at the University of California. Applications will be reviewedbeginning April 27, 2014, and the position will remain open until filled. UCRiverside is an Equal Opportunity/Affirmative Action employer.TO APPLY: Interested applicants should upload curriculum vitae, personalresearch statement, and statement describing teaching and 3-4 names ofindividuals who will be asked to provide letters of reference once a shortlist is developed to  https://aprecruit.ucr.edu/apply/JPF00127
Postdoctoral Research Assistant in Big Data for Single Cell Genomics
Applications are invited for a Postdoctoral Research Scientist in SingleCell Genomics to join a newly established Applied Statistical Genomicsresearch group headed by Dr Christopher Yau based at the Wellcome TrustCentre for Human Genetics. The research will focus on the development ofnovel statistical methodology for the analysis of large-scale single cellgenomics data and offers an opportunity to be at the analytical forefront ofinstitutional expansion in this area.The work will be supported by an Oxford-Stanford Big Data in Human HealthSeed Grant.The position would suit a candidate who is interested in developing a careerat the interface of Statistics and the Biosciences. Ideally, you will haveexperience of statistical methods development gained through a recentlyobtained (or soon to be) PhD (or equivalent) in a quantitative subject (e.g.mathematics, statistics, physics, engineering or computer science).Experience of Bayesian Statistics and machine learning techniques is highlydesirable as is evidence of prior experience of developing bioinformaticssoftware and/or analysing genomic data sets.You will be able to work as part of a team and independently and deliverresults to the required standard and schedule. You should also possess theability to organise and prioritise your own work with minimal supervisionand have excellent communication skills, both written and oral. The postwill involve interactions with collaborators from across multiple scientificareas.The post is fixed-term for 2 years in the first instance and funded by theWellcome Trust Institutional Strategic Support Fund.Please quote reference 112695 on all correspondence. You will be required toupload a CV and supporting statement as part of your online application.Only applications received before 12.00 midday on Wednesday 7 May 2014 willbe considered.For informal enquiries:   cyau@well.ox.ac.ukTo apply: https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=112695
Doctorado en Estadística Genética en la Universidad de Heidelberg (Alemania)
The Institute of Medical Biometry and Informatics, University of Heidelberginvites applications for a funded PhD in Statistical Genetics. The positionis initially limited to three years, with a possible extension.You have a university degree at master level and optimally some workingexperience in the field of biostatistics. We expect interest in medicalresearch, strong cooperation skills as well as an interdisciplinarorientation. Previous experience in the analysis of genetic data, withrobust statistical methods and/or statistical consulting are an advantage.The focus of this position is the development and practical application ofstatistical methods for the analysis of genetic data, including geneticassociation and expression studies.Please send your complete application within two weeks electronically or bypost to:Prof. Dr. Meinhard Kieser , Institute of Medical Biometry and Informatics,Im Neuenheimer Feld 305 , 69120 Heidelberg,meinhard.kieser@imbi.uni-heidelberg.deFor more information, please contact PD Dr. Lorenzo, leader of theStatistical Genetics groupwww.biometrie.uni-heidelberg.de/StatisticalGeneticslorenzo@imbi.uni-heidelberg.de
Documentos Oficiales
Documentos oficiales de la acción complementaria     Carta de aprobación del MICINNLogos OficialesLogo Horizontal BIOSTATNET   (Todos los derechos reservados)Logo Cuadrado BIOSTATNET   (Todos los derechos reservados)Logo para placas de metacrilato    (Todos los derechos reservados)Documentos de la Segunda Reunión de la Red Nacional de Bioestadística  (25-26 enero 2013) ProgramaLibro de abstracts   Resúmenes y conclusiones de las Sesiones Especiales de la ReuniónConferencia invitada: ”Past and Current Issues in Clinical Trials. A biostatistician’s perspective"Camino recorrido por la Red. Actividades desarrolladasBioestadísticos en instituciones biomédicas: ¿una necesidad?Estadística, Genómica y BioinformáticaMesa redonda de jóvenes investigadoresFormación actual en BioestadísticaFuturo de Biostatnet: Proyección Internacional Documentos de la Primera Reunión de la Red Nacional de Bioestadística  (21-22 enero 2011) ProgramaCuadernillo BIOSTATNET (versión mejorada)   Presentación por nodoPresentación del Nodo Castilla - La Mancha - OEDPresentación del Nodo Catalunya - BIOPresentación del Nodo Catalunya - SEAPresentación del Nodo GaliciaPresentación del Nodo MadridPresentación del Nodo País VascoPresentación del Nodo Valencia - Geeitema   Presentación de los talleres de trabajo A. Biostatnet y los jóvenes investigadoresB. Dinámica interna en biostatnet y comunicación con la SociedadD. Biostatnet y la docenciaE. Biostatnet y la investigaciónF1. Biostatnet y la transferencia de tecnología/conocimiento vía la consultoría (RED -> Universidad -> Sociedad)F2. Biostatnet y la transferencia de tecnología/conocimiento vía la consultoría (Universidad -> RED -> Sociedad)     Resumen talleres    Conferencia InvitadaVídeo de la conferencia invitada: The biostatistics scientist in a high-profile academic environment, Prof. Geert Molenberghs {mp4}Bioestadistica{/mp4}Memoria de Actividades 2010-2011MemoriaMemoria de Actividades 2012-2013Memoria