74 machine-learning-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in Germany
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doctorate Carrying out measurements on ceramic composite materials using laboratory X-ray sources and synchrotron radiation sources: spatially resolved X-ray refraction, computer tomography, and X-ray/neutron
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—machine learning or AI applications in biomedical or omics contexts Excellent communication skills in English, particularly in clinical and biological settings, and the ability to work independently as
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of equivalence with a German qualification. Skills and experience Extensive research experience in the field of artificial intelligence, machine learning, and deep learning with a focus on language
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-Universität zu Berlin Some prior experience in experimental laboratory work and instrumental analytics, along with careful and safety-conscious working practices Ability to perform computer-based evaluation
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science, or related fields. Proven expertise in machine learning, LLMs, or deep learning architectures and their application to biological or biomedical data. Experience in managing computational resources and
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Postdoc (f/m/d) Leader of Junior Research Group "WEEE-Recycling" / Completed university studies (...
-hand experience in the application of machine learning, simulation and modelling concepts in resource technology # Proven track record of interdisciplinary collaboration along the value chain of raw
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, integrative biology approach that utilizes human pluripotent stem cell based model systems, high throughput functional genomic screening and big data based machine learning, bridging the scales from genetics
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modeling approaches and artificial intelligence methods, particularly machine learning, is highly desirable. Application areas for these methods include theoretical spectroscopy, the prediction of reaction
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, proliferation, and evolution. To strengthen our expertise in bioinformatics and machine learning, we are offering a position for a highly motivated scientist with significant experience in bioinformatics, ideally
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machines into the cellular context in space and time, how stress factors influence these processes, and how the cellular network enables their robust functioning. Research Focus 3 Microbes providing