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Helmholtz Association of German Research Centres | Geesthacht, Schleswig-Holstein | Germany | about 2 months ago
existing methods (e.g. XGBoost, Gaussian Processes) - you will publish your work and contribute to open-source releases Your profile - PhD in Machine Learning, Computer Science, Physics, Environmental
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Center studying habitability for life as we know it based on fundamental physio-geo-chemical processes set by the planet’s evolution. The study of planetary habitability in this SFB is therefore oriented
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datasets using R and/or Python to uncover molecular mechanisms of PTSD Evaluate and integrate current scientific literature to support ongoing research projects and hypothesis development Prepare
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://www.fz-juelich.de/profile/buechel_m Your Profile Excellent university degree (Bachelor) in field of Data Science or a comparable field i.e. Electrical Engineering, Computer Science/Engineering
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applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution. At the Faculty of Electrical and Computer Engineering , Institute of Circuits and
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our research department. What you contribute You hold a Master's degree (or equivalent) in Electrical Engineering Computer Engineering Physics Mechatronics Information Engineering or a related
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Helmholtz Association of German Research Centres | Bonn, Nordrhein-Westfalen | Germany | about 1 month ago
transcriptomics is of advantage Experience with cell culture, flow cytometry, or animal models is highly desirable, as is proficiency in programming languages such as R or Python for high‑dimensional data
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projects with a focus on the development and application of computer vision technologies. Be part of change Conduct research and development in the fields of Artificial Intelligence (AI) and Machine
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Research Center studying habitability for life as we know it based on fundamental physio-geo-chemical processes set by the planet’s evolution. The study of planetary habitability in this SFB is therefore
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microscopy (SEM), and, ideally, thin-film characterization and analysis. Familiarity with computer-aided design and technical drawing, preferably using Autodesk Inventor, as well as the Finite Element