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forward to receiving a short cover letter in which you describe your research interests and relevant prior experience. PROFESSIONAL AND PERSONAL REQUIREMENTS You have successfully completed a university
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applied Machine Learning Hands-on experience with High Performance Computing Systems Basic knowledge of System Architecture of Supercomputers and NVidia-GPUs Practical experience with ML/DL workflows and
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good knowledge of experimental research methods and statistics, experience with sta-tistical software (e.g. JASP, R)•Programming skills (e.g. in Matlab, Python/Psychopy and/or R) or willingness
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scientific work and collaboration efforts of the research group Your Profile: Ph.D. in experimental nuclear physics At least three years of postdoctoral experience in nuclear spectroscopy Strong motivation
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Geo- or Natural Sciences, should have experience in diverse analytical characterization methods of geomaterials, have a pro-active, well-organised work style, and be competent in interaction and
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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, geoinformatics, Data Science (Natural Language Processing), computational linguistics, taxonomy (especially entomology), or ecology with strong data skills Experience with text mining of scientific and historical
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
, including hands-on experimental experience and data interpretation (must-have) # Experience in spectroelectrochemistry or advanced electrochemical analysis (desireable) # Experience in the synthesis and
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documents (motivation letter summarizing your research experience and interests, extensive CV, list of publications, contact details of three potential referees) by November 10th, 2025 to Prof. Dr. Michael
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 23 days ago
computational models that link the connectivity of the circuit (from connectomics) to behavior. Work closely with experimental collaborators who provide behavioral, anatomical, and neurophysiological data from