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Field
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The Data Integration in the Life Sciences (DILiS) research group at the Institute of Computer Science at Freie Universität Berlin is headed by Katharina Baum. We primarily investigate and develop
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the results, documenting the results, and summarizing the findings in a final report Your Profile: Enrolled in a Master’s program in chemistry, materials science, electrochemistry, or a related field Experience
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(bioinformatics, computer science, genetics, or a related field) Excellent advanced scientific degree (PhD) in bioinformatics, computer science, computational biology or a related STEM field; prior working
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | about 5 hours ago
. Previous experience collecting behavioral data on primates or social animals in natural settings. Background knowledge on animal behavior and statistical analysis. Experience with the scripting program
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be funded? Tutorised university accompanying courses in linguistics, grammar, computer science, marketing, law, etc. (5 months) at Bochum Duration of the funding 1 September until 31 January Value
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Completed scientific university degree in engineering or natural sciences, computer science, or a degree program that includes aspects of these disciplines, or at least 5 years of professional experience in
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well as technology-based, psychological assessment Good knowledge of item response theory Proficient use of statistical software (particularly R) Publication experience in English, peer-reviewed journals
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to the partner laboratories. Requirements: university and PhD degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills
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-efficient learning, uncertainty estimation, 3D vision. What you bring to the table Good knowledge in machine learning and computer vision Experience in programming with Python and familiarity with PyTorch
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in teams Good language skills in English Good communication skills Ability to be on-site approx. once per week Especially suitable for students with the field of study in computer science, mathematics