similar to: JOBS: New positions in computational biology, bioinformatics, statistics, HPC and software engineering

Dear All, We are seeking a computational research scientist interested in studying the roles of non-coding RNAs in cancer. The successful applicant will join the Cancer Research UK RNA Biology Group at the Cancer Research UK Manchester Institute (www.cruk.manchester.ac.uk). Located in Manchester UK, the Cancer Research UK Manchester Institute is a centre for excellence in cancer research. We

Dear all, we have an exciting PhD position applying HPC to the analysis of large scale cancer datasets. The post will suit an applicant from a strong computational background who wishes to apply their knowledge to help develop a better understanding of the processes that control how tumours develop. Details below:- High Performance Computing applied to cancer research: Computational analysis of

Job Title : Postdoctoral Position in Biostatistics/Bioinformatics Background The joint research unit between bioM?rieux, international leader in in vitro diagnostic, and Hospices Civils de Lyon, second-largest University Hospital Network in France, develops a research program dedicated to the study of injury induced immunosuppression. This program aims at (i) describing and understanding the

Dear All, We have just advertised a number of jobs which may be of interest. I've pasted the text from the advert below; more details can be found on our website at: http://bioinformatics.pir.man.ac.uk ------------------------------ Positions in Applied Computational Biology and Bioinformatics The Paterson Institute is a leading cancer centre of excellence core-funded by Cancer Research

Dear all, My company located in Innsbruck, Austria, has an opening for a biostatistician. If you have any interest, feel free to contact me or Dr Markus Speiser (markus.speiser*at*biocrates.com). Best regards, David ################## Biostatistician (m/f) Job Description BIOCRATES Life Sciences AG is a leading metabolomics company using a mass-spectrometry based technology

One Year Student in Bioinformatics (Biomarkers discovery)-1000435 See following URL for job application: http://www.merckserono.com/en/careers/job_center/job_center.html Description Background: Biomarker discovery is now an intricate part of the drug development process as it will allow for more accurate identification of patients who will benefit from those therapies. The blood tissue

A postdoctoral fellow position in computational biology will be available starting June 1 2009 at University of Washington, Seattle, WA. The candidate will join a multi-disciplinary group working on edge-cutting research problems in computational biology. Job Description We seek a highly motivated and diligent researcher at the early stage of academic career with the ability to carry out

A postdoctoral fellow position in computational biology will be shortly available at University of Washington, Seattle, WA. The candidate will join a multi-disciplinary group working on edge-cutting research problems in computational biology. Job Description We seek a highly motivated and diligent researcher at the early stage of academic career with the ability to carry out research

A postdoctoral fellow position in computational biology is anticipated to open in the fall of 2009 at University of Washington, Seattle, WA. The candidate will join a multi-disciplinary group working on edge-cutting research problems in computational biology. Job Description We seek a highly motivated and diligent researcher at the early stage of academic career with the ability to carry out

BioInformatics Scientist Job Code: 10-TR25 Location: Cambridge, MA Description We are seeking a highly motivated, independent bioinformatics scientist to join a group of scientists, analysts and programmers to develop tools and methodologies for large-scale gene expression data analysis. The group supports a variety of research projects in target and drug discovery as well as biomarker

*The Jenner Institute is seeking to appoint an outstanding Bioinformatician to run a Transcriptomics Core Facility at the Jenner Institute and to identify, develop and integrate bioinformatics resources into the research programmes of the institute. You will be based at the Jenner Institute in the Old Road Campus Research Building, Headington, Oxford and working in conjunction with Gilean

*Bioinformatics Specialist, Sage Bionetworks, Seattle, WA* Sage Bionetworks is a world-leading nonprofit biomedical research organization dedicated to: (1) developing predictive models of disease-related phenotypes through integrative analysis of large-scale genomic data sets; (2) building and supporting an open source compute platform and database to more effectively harness genome-scale data by

Position: Statistician in a systems biology team focused on metabolic disorders such as diabetes and obesity. The position is part of a statistics group supporting Pfizer global research and development. Role and Responsibilities: The statistician will be an integral member of a systems biology team which develops and/or uses computational and statistical approaches to manage and derive

Dear All. I have the following table that I want to analyze using multinom function freq segments sample 4271 Seg1 tumour 4311 Seg2 tumour 3515 Seg1 normal 3561 Seg2 normal I want to compare model with both factors to the one where only sample is present. model1=multinom(freq~segments+sample,data=table) model2=multinom(freq~ sample,data=table)

Hi, We're looking for a number of people to join our group (Applied Computational Biology and Bioinformatics -- ACBB) and applying state of the art techniques (see for example, xmap.picr.man.ac.uk) to integrate, analyse and interpret datasets arising from the latest generation of microarrays (including exon, SNP and tiling arrays), quantitative mass-spectrometry and next generation

Hello All The third virtual conference on genomics and bioinformatics will host by North Dakota State University September 16-19, 2003 More details http://www.ndsu.edu/virtual-genomics/conference_2003.htm Call for papers and 2002 accepted papers http://www.ndsu.edu/virtual-genomics/papers_2003.htm Third Virtual Conference on Genomics and Bioinformatics: September 16-19, 2003 Advances in

In the package lasso2, there is a Prostate Data. To find coefficients in the prostate cancer example we could impose L1 constraint on the parameters. code is: data(Prostate) p.mean <- apply(Prostate, 5,mean) pros <- sweep(Prostate, 5, p.mean, "-") p.std <- apply(pros, 5, var) pros <- sweep(pros, 5, sqrt(p.std),"/") pros[, "lpsa"] <-

We are looking for a MSc or PhD holder in Bioinformatics,Molecular/Computational Biology or Computer Science to support ourbiomarker team in the identification, validation and furtherdevelopment of biomarkers. The chosen candidate will be part of ourmultidisciplinary team conducting studies to discover and developdiagnostic biomarkers as well as biomarkers for the characterization ofdisease models

All, For my understanding, I wanted to see if I can get glmnet predictions using both the predict function and also by multiplying coefficients by the variable matrix. This is not worked out. Could anyone suggest where I am going wrong? I understand that I may not have the mean/intercept correct, but the scaling is also off, which suggests a bigger mistake. Thanks for your help. Juliet Hannah

In an .Rd example for a package, I want to use data from another package, but avoid loading the entire package and avoid errors/warnings if that other package is not available. If I don't care about loading the other package, I can just do: if (require("ElemStatLearn", quietly=TRUE)) { data(prostate) # rest of example } I'd rather just be able to do something like: