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Field
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programs such as R, Python, Matlab, or similar. Experience designing psychology experiments within a lab setting. Preferred Qualifications Analysis of fMRI experiments (e.g. FSL). Record a peer-reviewed
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, execution, and regulatory submissions) proficiency in bioinformatics, statistical analysis (R, Python, SAS, or similar) fluent in English (written and spoken) proven grant-writing success and ability
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statistics and/or machine learning Specific knowledge • Proficiency in scientific computing • Knowledge of machine learning packages in Python or R • Proficiency in English (minimum level B2), as the postdoc
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studying transcription factors and chromatin (ATAC-seq, RNA-seq) and/or programming skills in languages commonly used in bioinformatics (Python or R, etc) are highly encouraged. Previous postdoctoral
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and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation. Procedure Reference: IT137
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/or R) and understanding of Markov model principles. You will be based in the Gibson Building, Nuffield Department of Primary Care Health Sciences, Woodstock Road, Oxford, OX2 6GG as your normal place
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Conservation Biology, or equivalent degree Preferred Education: Ph.D. in Ecology and Conservation Biology, Preferred Experience: Experience with R programming, statistical analysis of coastal datasets
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-reviewed media Experience with grant applications on international and national levels High quality in your own teaching and supervision experience Coding skills (SPSS, JASP, R) Very good English and German
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Vegetation Simulator (USFS FVS). Experience with software tools such as R, CPLEX, Optimization with Python, Remsoft (Woodstock). Excellent communication skills and ability to work collaboratively with others
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Health Sciences Center (SCEHSC), the Maternal And Developmental Risks from Environmental and Social Stressors (MADRES) Center, and the Center for Translational Research on Environmental Health (R-TEN