-
knowledge in bioinformatics (Phyton and/or R programming for statistical computing and graphics) is an asset. What do we offer? A creative and inspiring environment with wide-ranging expertise and interests
-
, and transcriptome analysis as well as familiarity with high performance computing environment, Linux, phyton, R scripting or other programming language. Other advantageous skills may include data
-
, computer science, neuroscience, computational social science, or a related area). Strong programming skills (e.g., R, Python, Matlab, or C++). Proficiency in statistics/data analysis and experience with
-
highly proficient in using statistical software such as R, SAS, or STATA. Further, we expect you to have excellent skills in writing scientific papers. Personal qualities that are considered desirable
-
higher. Your profile The candidate must hold a PhD in the field of bioinformatics/computational biology, or a related field. The candidate should fully master (requirement) R and Python (be proficient in
-
(e.g., R, Matlab), good bioinformatics knowledge of metabolomics, and strong oral and written communication skills. The candidate’s time will be devoted to data analysis, manuscript preparation, and
-
., et al., Platelet-biased stem cells reside at the apex of the haematopoietic stem-cell hierarchy. Nature, 2013. 502(7470): p. 232-236. Drissen R, et al., Distinct myeloid progenitor-differentiation
-
background in qualitative and/or epidemiological methods, with skills in thematic and content analysis for qualitative research and/or programming (SAS, R, or STATA) for data management and statistical
-
targeted LC-MS/MS and DESI-MRM acquisition of biological samples (including tissue extraction and cryosectioning) Process and analyze these data modalities (using open-source R and python packages) Design