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will be part of this PhD position: (Semi-)Automated production of catalyst inks from commercial materials Development of characterization workflow for catalyst inks and interfaces Establishment of a
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Technology » Energy technology Technology » Interface technology Technology » Nanotechnology Physics » Solid state physics Physics » Chemical physics Researcher Profile Recognised Researcher (R2) Positions PhD
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data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer/data science and the life sciences. Applicants must hold a Ph.D. in Engineering, Computer
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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. Programme duration 6 semesters Beginning Winter semester Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Position identification Title of post : Design
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full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Any time Tuition fees per semester in EUR None Combined Master's degree / PhD programme No
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phenomena at the interface between relativistic quantum field theory and condensed matter physics The essential part of the program is collaboration with Dr. Maksim Ulybyshev (Wurzburg University, Germany
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spoken and written is required The candidat must have a PhD in computer science, machine learning, or computational biology The position is available immediately and will remain open until filled
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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning