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- Knowledge in programming in Python or R - Familiarity with machine learning or deep learning methods is a plus - Interest in plant genomics, evolutionary biology, or comparative genomics - Proficient in
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
-prüfung (BAM) is a materials research organization in Germany. Our mission is to ensure safety in technology and chemistry. We perform research and testing in materials science, materials engineering and
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scientific discoveries explore and evaluate usability of system architectures such as Retrieval-Augmented Generation (RAG) for data retrieval and knowledge inference implementation of your machine learning
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electrical characterization. A strong interest in experimental work and willingness to develop independent lab skills are essential. Good written and oral English communication skills. Prior knowledge of micro
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of Schleswig-Holstein (10%). It is one of the internationally leading institutions in the field of marine research. Through our research and our commitment to the transfer of knowledge and technology, we
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to granular materials, multiphysics simulations, or mechanical systems. · Experimental experience with mechanical and or electronic systems is an advantage. · Knowledge of space resources/ISRU and
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part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public
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. Qualifications The candidate should have an academic background in Earth Science, Limnology, Ecology, or from similar fields. Additional requirements for this position are: good knowledge of the processes
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry