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Computer Science, Artificial Intelligence, Materials Science, or a related field Strong programming skills in Python, ideally with experience in image processing and deep learning using PyTorch or similar frameworks
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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 Communication Technology
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The Fraunhofer Institute for Applied Optics and Precision Engineering IOF in Jena conducts applied research in the field of photonics and develops innovative optical systems to control light - from
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processing algorithms for coherent optical communication systems What you bring to the table You are a student of electrical engineering, communications engineering, computational engineering, or a related
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07.07.2025, Professuren Technical University of Munich (TUM) and the Leibniz Institute for Food Systems Biology at the Technical University of Munich (Leibniz-LSB@TUM) jointly invite applications
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effects on biofilm degradation Genetic engineering of phages and prophages Cloning, expression, and characterization of phage proteins These exciting tasks await you: You will apply microbiological
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | 3 days ago
: Dresden, Saxony 01307, Germany [map ] Subject Areas: Artificial Intelligence, Machine Learning, Applied Mathematics, Biomathematics, Mathematical Biology, Computational Science, Statistics, Numerical
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Master Thesis - Development of ligand conjugated lipid nanoparticles for targeted T cell delivery...
biological samples' 3D structure and molecular identity. At iBIO, we bring together cutting-edge science from biology, chemistry, engineering, and computer applications. Our overarching aim is to obtain a
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, with a focus on informatics or AI Good knowledge in programming with python and on software development Knowledge on LLMs and langchain is a plus Analytical and structured mindset Good knowledge
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natural sciences expertise in materials science and materials engineering, in particular methods of computational material science (e.g. DFT, CALPHAD) programming skills, e.g. Python basic knowledge of data