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Description Completion of doctoral thesis related to: Process and analyze experimental data. Develop predictive models using deep learning. Train, validate, and optimize neural networks (CNNs, etc.) applied
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experimental approaches. While your PhD project will be purely computational, you will closely collaborate with our key partner at EPFL (Lausanne, Switzerland). Two secondments—one in a research-oriented startup
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observable LC configurations for a given physical system; can we design a system to stabilise LC configurations with desired properties and can we reconstruct material properties from experimental data on LC
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) Download Additional Information Benefits Salary Amount: 1281,10 € gross, monthly Duties and responsabilities: - Perform physical, chemical, and technological analyses of persimmons. - Prepare, execute, and
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to deliver an exceptional experience for our students. The group’s experimental research spans research at the interface with biology - biological-physics, bio nanotechnology and synthetic biology
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26 Jan 2026 Job Information Organisation/Company CNRS Department Institut de Recherche de Chimie Paris Research Field Chemistry Physics Researcher Profile Recognised Researcher (R2) Application
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Fellow to undertake a project to develop
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and description of the project Conduct research and teaching as a faculty member at Kyushu University. https://www.phys.kyushu-u.ac.jp [Work content and job description] Experimental research in
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experimental data, drawing on guidance from computational studies, and prepare these results for publication. You are an early career researcher ideally with a PhD in Physical Chemistry or Physics and experience
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-chosen cell viability experiments and genomic testing performed in the lab on cells taken from a cancer patient. An AI method would use published research and historical data to guide experimentation