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engineering, computer science or a comparable subject You have good experience in Python You have basic knowledge of the theory and methods in machine learning Good language skills in German and/or English What
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
experience with programming languages such as Python, R, or Julia and bioinformatics tools Familiarity with cloud computing and high-performance computing (HPC) environments Strong analytical and problem
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extension, in the programme area "Next-Generation Horticultural Systems" (HORTSYS), in the research group "Open Field Horticultural Systems" within the EU-HORIZON project NitroScope - "Scoping European N
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learning methods, deep learning The following knowledge is advantageous/desirable: experience in software development with C++ experience in web programming (Javascript, etc.) experience with web APIs, cloud
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learning methods, deep learning The following knowledge is advantageous/desirable: experience in software development with C++ experience in web programming (Javascript, etc.) experience with web APIs, cloud
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and model generation, point cloud rendering, visual effects (GPU shader, shadergraph, VFX) and 3D scene design Development of AR/VR applications What you bring to the table Full-time student at a German
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practical experience alongside your studies Professional supervision and collaboration in a dedicated team A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure Flexible
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and Master’s students in Informatics and Data Science. Supervise Bachelor’s and Master’s theses. We Offer Practice-oriented research projects with leading academic and industry partners (like Google
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as they act as intelligent, networked interfaces between the physical world and cloud-based AI services. The challenge and at the same time the attraction lies in using limited resources (computing
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Dynamics (W-0041 | all genders) in the broad field of climate dynamics. Areas include, but are not limited to, cloud-circulation coupling, climate feedback and sensitivity, polar climate change, and large