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Field
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, Data Science, AI, Math, Physics, Geoinformatics, or a related quantitative field; applicants from environmental sciences are welcome with strong programming skills (preferably in Python). Experience with
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | about 1 month ago
or more programming languages (R, Matlab, Python) Video-based approach to behavioral analysis is beneficial Competence with C. elegans and/or fluorescence imaging techniques is beneficial but not necessary
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sustainable future. A more detailed summary of our research fields can be found on: https://www.isse.tu-clausthal.de/forschung/forschungsgruppen/dgt-digitized-green-tech Our excellent network on international
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RNA sequencing workflows and basic bioinformatics • Experience with Python and R for transcriptomic data analysis We offer The position (TV-L13 (65%) salary according to German public sector regulations
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or computer science Experience with UNIX-like operating systems Mathematical and programming skills (Python, Machine Learning) Basic understanding of molecular forces and structures Excellent knowledge of written and
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team of neuroscientists, computer scientists and clinicians Your Profile: Excellent university degree (Master) in neuroscience or a related field Solid understanding of statistics and programming (Python
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analytical programming language (e.g., Python, R) or a universal programming language (e.g., C#, Java, C++, Rust) Knowledge of the use of relational and non-relational databases Very good English skills
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extensive support through the graduate school (IRTG:(https://sfb1436.de/de/graduate-school/). Your profile: MSc in Neurosciences, Life sciences or related fields Experience in behavioural and molecular
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fields can be found on: https://www.isse.tu-clausthal.de/forschung/forschungsgruppen/dgt-digitized-green-tech Our excellent Network on international and national basis offers a perfect start for a
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++, Python, and JavaScript languages, multi- and many-core SoC, RISC-V, hardware synthesis, hardware-software co-design, (meta-heuristic) optimization algorithms, machine learning frameworks, (bonus topics