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, including imaging mass cytometry (IMC) Advanced programming and data analysis skills in R and/or Python Downloading a copy of our Job Description Full details of the role and the skills, knowledge and
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, bioinformatics, infectious disease epidemiology or a related discipline. Have experience with molecular biology and next-generation sequencing. Have strong computational skills (e.g. Linux, R, Python). An interest
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change, macroecology and statistical modelling. We expect applicants to have excellent programming skills, preferably in R. Extent of Employment Job grading in accordance with collective bargaining
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software such as SPSS and R; be self-motivated, responsible and able to work independently and as a team. Those with experience in working with children/adolescents are preferred. Applicants for the senior
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develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including SPSS and R, for large and complex data analysis Proven knowledge
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. Preferred: Integration of wet lab findings with computational analysis of multi-omic data (e.g., structural variants, transcriptomics) using R or Python pipelines. Mentoring and Professional Development
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health, health data science, medicine, pharmacy or a related discipline. Experience analysing complex datasets using R, Stata, SAS or Python. Knowledge of epidemiological methods and healthcare data
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 20 days ago
for Pore-C data Image analysis Programming in R and/or python Your profile We are looking for a motivated team player with strong communication skills and the desire to work in a dynamic environment
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provided in Annex no. 1.1 to the OTM-R POLICY - OPEN TRANSPARENT MERIT-BASED RECRUITMENT; 3) Data Privacy Statement as provided in Annex no. 1.2 to the OTM-R POLICY - OPEN TRANSPARENT MERIT-BASED
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-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB, R, or related computational environments. Lead and co-author