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perform a risk analysis of the resulting model outputs Present your scientific results at conferences, workshops, and seminars, and publish the work in peer‑reviewed journals Collaborate with project
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response to heat stress protein biochemistry and purification plant physiological measurements molecular biological investigations (e.g., gene expression analyses) analysis and publication of results in
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regulation, RNA biology, protein biochemistry, stem cells, bioinformatics, sequence analysis, mathematics, statistics, molecular evolution, or biophysics, and wish to work at the Max Planck Institute
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modeling and computational workflows Knowledge about machine learning: statistics and deep learning Experience in data analysis, visualization and presentation Good programming skills in languages such as
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software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new code via
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/ coding and data analysis software Independent, structured, and goal-oriented working style Please provide evidence of the qualifications required for the job by certificates and references. Please indicate
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on the analysis and interpretation of the GNSS observations as well as on the application of geological and glacial-geomorphological findings for the reconstruction of ice-load history in Antarctic regions
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and Marine Research. The tasks include: scientific advancing methods of satellite altimetry analysis over the Antarctic Ice Sheet analysis of measured surface elevation changes in conjunction with
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cytometry methods Experience with cell culture techniques is highly desired Previous experience with genomics approaches and data analysis is a plus. Interest in working in a project with wet and dry lab
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conditions chemical analysis of plant secondary metabolites using HPLC-MS and GC-MS protein isolation and characterization using LC-MS plant physiological measurements molecular biological investigations (e.g