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similar and have substantial experience with machine learning. Experience with generative AI for image is a large advantage, and computer vision experience is a plus. Furthermore, as AI:Xpertise is about
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on quantitative methods such as applied simulation, big data, artificial intelligence, and machine learning as well as an ability to apply such skills to interventions research, field experiments, and
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including postdocs, PhD, MSc and undergraduatestudents. Our research focuses on thegene regulatory networks that control the development and plasticity of fat cells. Furthermore, we are investigating
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with statistical and numerical analysis methods as applicable to strain design problems is a distinct advantage. Familiarity with machine learning tools such as PyTorch, HuggingFace transformers and
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, operando characterization, and scalable materials synthesis, as well as autonomous robotics, digital twins, and machine learning, CAPeX will reinvent the ways we invent new sustainable materials for Power
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expected to provide outstanding education, supervise bachelor, master and PhD level students. Candidates for this position must have a solid education that enables them to teach within (at least one
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Engineering. Therefore, the department invites applications from candidates who are driven by excellence in research and teaching as well as external collaboration on societal challenges. The position will be
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or sensory biology is required and a PhD degree or similar is an advantage. Prior experience with machine learning, acoustic analysis, image analysis, stereo video 3D reconstruction, signal processing and
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environmental modelling, including data science methods such as AI and machine learning Proficiency in GIS and R programming or similar Effective communication skills and experience working with authorities
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Computer-Aided Drug Discovery modeller to join our team. Your new role Your main responsibilities will be to drive Drug Discovery projects by identifying, developing, and delivering high quality modelling