71 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in Germany
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protocols to characterize both cellular and vascular properties of the TME. The approach will be validated using a combination of in silico models, computer simulations, and in vitro experiments using tumor
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an advantage Extensive knowledge and experience in digital signal processing Know-how of and experience with using machine learning methods for measurement data processing and evaluation is an
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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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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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—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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-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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of the Konstanz Research School Chemical Biology (KoRS-CB), an interdisciplinary graduate school of the Departments of Biology, Chemistry and Computer & Information Science. Our doctoral researchers are supported
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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