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spans computational materials design, catalysis, energy materials, machine learning, and artificial intelligence. We offer a collaborative and international research environment with close interactions
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
across European life-science AI efforts. Requirements PhD in computational biology, bioinformatics, machine learning, or a related computational field Hands-on experience with foundation models / large
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Qualifications: A PhD, MD/PhD, or equivalent research doctoral degree in neuroscience, biomedical data science, computer science, psychology, psychiatry, statistics, engineering, applied mathematics, or a related
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degree / PhD Language skills: Excellent command of German and English; ability to teach courses in both languages Desirable skills and qualifications Completed doctoral degree in a discipline within the
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Can technology learn to listen to how athletes feel, and not just to what
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Join an innovative ERC-funded research project exploring how diverse people and communities learn to live with drought across Europe. Living with Drought: Human-Environment Relationships in Drying
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chance to perform experiments at the cSAXS beamline of the upgraded Swiss Light Source synchrotron, as well as other facilities around the world. Profile We are looking for a person with: PhD in physics
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trainees for routine research techniques as needed. Use professional concepts to contribute to the development of the lab research environment in creative and effective ways. Learn more: Our benefits , where
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PhD in media and communication sciences (or language sciences, or an equivalent field). The postdoctoral fellowship is awarded for one year, in accordance with UCLouvain's pay scales. This call is aimed
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to learn about, (road) network traffic flow theory and simulation. You are interested in mentoring and supporting MSc and PhD students. You are a machine learning enthusiast (and realist). You love coding