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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 26 days ago
Institute for Multidisciplinary Sciences Department NanoBiophotonics Prof. Dr. Stefan W. Hell Am Faßberg 11 37077 Göttingen Germany
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of XYZs, higher order perturbative calculations inside effective field theories. The particle and nuclear theory group at the TUM School of Natural science is lead by Prof. N. Brambilla and Prof. A. Vairo
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is funded in association with the Lero Research Centre and the Immersive Software Engineering programme. Faculty: Dr. Roisin Lyons - Kemmy Business School; Prof. Chris Exton – CSIS; Dr. Clare
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PhD Position in Hydrogen/Deuterium Exchange Mass Spectrometry to Study the Regulation of Lipoprot...
environment in proteomics, protein chemistry, biomolecular mass spectrometry, and computational proteomics. Qualifications We are looking for a highly motivated and enthusiastic candidate with excellent
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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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Code 9519 Employee Class Grad/Prof Student Position Add to My Favorite Jobs Email this Job About the Job This person will act as a teaching assistant on the course NSC 5461 Cellular and Molecular
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(Associate Professor) Ashraf Uz Zaman (zaman@chalmers.se) and Prof. Jian Yang (jian.yang@chalmers.se) Who we are looking for Applicants should have, or expect to receive, a Master of Science degree
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in inorganic synthesis and/or Schlenk-line preparations Experience with scientific programming (e.g., MATLAB, LabView) is advantageous Experience performing quantum chemistry computations (e.g., DFT
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conferences; Mentor BSc/MSc students. About NL2120 NL2120 is a program in which science, business, nature organizations and education work together to gain knowledge about natural solutions (Nature-based
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to shape a more inclusive, sustainable, and innovative future. The Brussels Institute for Statistics and Information Science (BISI) is a multidisciplinary research group within the VUB, focusing on data