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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
Area of research: Scientific / postdoctoral posts Starting date: 01.07.2025 Job description: Postdoc (f/m/d): Machine Learning for Materials Modeling With cutting-edge research in the fields
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programming Python Excellent knowledge and experience in machine learning Experience with git is welcome Excellent ability for cooperative collaboration Very good communication skills in English Prior German
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Area of research: Studentische Hilfskräfte Job description: Student Assistant (f/m/x) - Machine Learning and Image Analysis 102739 Stud. Assistant 20 hrs./week Munich Partial Home Office possible
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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
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Profile: A Master`s degree and an excellent PhD degree in Biochemistry, Chemistry, or a related Molecular Science Proven Track Record in Machine Learning, Molecular Simulations, Chemoinformatics
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various aspects of QC ranging from quantum chemistry to optimization and machine learning topics. We offer interested students to participate in this cutting-edge research via master thesis projects in
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, a unique opportunity opens up for you: Explore the potential of machine learning and computer vision to revolutionize autonomous flight systems. In close collaboration with leading industry partners
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medical machine learning for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and build their early scientific career. About
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group of Analysis of Microscopic BIOMedical Images (AMBIOM) within the department Biospectroscopy in Dortmund we invite applications for a: Masters Intern (m/f/d) Machine learning and bioimage analysis In
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network