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Solid programming skills (e.g., Python, MATLAB, C/C++ or similar) Experience in MR sequence programming is highly desirable Strong interest in translational, across-organ imaging research Ability to work
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related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in
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a closely related field with a focus on agricultural systems Solid knowledge of crop modelling and/or data-driven approaches for agricultural decision support Robust experience with Python Proven
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programming languages such as R or Python Experience with multiome data analysis (e.g. methylomics, Lipidomics, Proteomics, ATAC-seq) Proven experience with advanced computational methods such as deep and
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publications Excellent command of English Strong proficiency in programming languages such as Python, MATLAB, or R Demonstrated methodological expertise in advanced EEG and/or fMRI methods, evidenced by
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qualifications in probilistic risk modelling, applied statistics and familiar with quantitative risk modelling measures strong data analysis skills and proficiency in R and Python; experience with other programing
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, experience with Linux shell-based bioinformatics tools, and basic programming skills (e.g. Python) are essential. Experience with metabolome analyses and natural product biosyntheses will be a plus. The DSMZ
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background in neurobiology Strong interest in studies on sleep in model organisms such as zebrafish Familiarity with statistics and programing experience with Python Previous experience with neuroimaging is
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with handling and harmonizing large and variable datasets, statistical analysis, species/ habitat distribution modelling, use of R/Python, GIS, preferably open source GIS (e.g. QGIS, GRASS). Essential is
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Neurosciences, Life sciences or related fields Experience in behavioural and molecular techniques Programming experience (Matlab and/or Python) interest in interspecies / interdisciplinary studies Please send