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PhD student (M/F) in Polymer Chemistry: Synthesis of cross-linkable, degradable and recyclable latex
student will work on the synthesis of polymer monomers and colloids. The main applications will be degradable and chemically recyclable polymer films, as well as encapsulation for the controlled release of
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for data collection, statistical analyses, manuscript preparation, and presenting results at international conferences. Main tasks include: - Implementing controlled breeding experiments to assess
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knowledge of the use of command line and programming (bash and R), -Strong skills in statistical analysis, -Good ability to work in a team, -Good command of English (reading, writing, speaking), -Good
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controlled via structural phase transitions or external fields. The successful candidate will develop and apply a range of theoretical and computational methods based on first-principles electronic structure
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participate in in vitro/ex vivo testing. Supervision & Environment • Denys Nikolayev (IETR Rennes): expert in wireless bioelectronics and wave control in tissues • Simon Hemour (IMS Bordeaux): expert in RF
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Microsystems - MICS Group: Metrology, Identification, Control, and Monitoring This thesis work falls within the research themes of the MSC group, and more specifically the MaPP axis: Materials – Processes
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interaction of classical Lewis Pairs (LPs), the SupraCAN project aims to create a new family of catalysts capable of (i) controlled activation (latency) (ii) cooperative activation (high activity) (iii
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), crystallography, cryo-electron microscopy - Basic knowledge in extracellular matrix, skin biology and proteolysis - Excellent command of English (written and spoken) - Writing skills - Ability to work in a team and
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develop internally. At the end of the thesis, we expect to reach these objectives: (i) further understand and optimize the plasma processes to have a better control of the growth of UWBG semiconductors
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 1 month ago
industrial process control remains under-explored; the current approach relies on statistical tests or conventional machine learning. One of the manufacturing processes addressed in this thesis is injection