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: Education Ph.D. in Engineering, Chemistry, Biology, Physics or a relevant field. For information on certificates and diplomas issued abroad, please see Degree equivalency Experience Significant* experience in
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Project & Group: You will work in the Computational Chemistry group, led by Dr. Mehdi D. Davari, an interdisciplinary team focused on accelerating chemical and biological discovery using computational tools
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Learning”. About the Project & Group: You will work in the Computational Chemistry group, led by Dr. Mehdi D. Davari, an interdisciplinary team focused on accelerating chemical and biological discovery using
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assistant is a fixed-term scientific position of 6 months. If you have hands-on experience with analytical chemistry and laboratory techniques and experience with troubleshooting, optimization of laboratory
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and biosensors for pharmaceutical and biotechnological use. The ideal candidate profile: Must-have: MSc degree in the fields of biophysics, soft matter physics, physical chemistry, computational
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instrumentation , X-Ray Physics , X-ray Scattering , X-ray Science Appl Deadline: 2025/08/31 11:59PM (posted 2025/06/05, listed until 2025/12/05) Position Description: Apply Position Description Program Overview
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position will contribute to the research programme of the recently founded "AI Hub in Generative Models", a research consortium funded by EPSRC. The goal of the programme is to do research in the area of
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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achieved consensus. The PRELIFE consortium brings together leading researchers from a wide spectrum of disciplines—including astronomy, biology, chemistry, computer science, earth and planetary sciences
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tools from chemistry and biology, and apply these in studies of therapeutic peptides and proteins. Our aims are to develop modulators for protein-protein interactions (PPIs) and to provide molecular-level