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of explainable attributes to describe human behavior and self-reports as well as to make progress in the computational models of the human mind. Your main tasks, as a PhD candidate, are the following: Conduct
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existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the PhD project is encouraged. The successful candidate will be affiliated with the Institute
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(Electrical Engineering, Electronics, Telecommunications) at Paul Sabatier University. The PhD candidate will be supervised by Alain Estève and David Pech at LAAS-CNRS (Toulouse), within the MRS team (Reactive
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funded PhD position in the ERC-funded project BESSEL at the IETR Laboratory of CNRS (Rennes, France). The project focuses on advancing wireless power transfer for deep-body bioelectronics using adaptive
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. This PhD is part of the ChiraPeT project (Deciphering the Influence of Chirality on Photoinduced Electron Transfer Processes), funded by the ANR. The project aims to develop novel molecular tools
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a powerful model for uncovering muscle-specific protective processes. Yet, significant gaps in our knowledge have hampered advancement in this field including the lack of molecular markers and
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in epigenetic analysis will be an asset Strong interest in bioinformatics and computational analysis will be an advantage Self-motivated, strong commitment, and ability to work in a team Fluent written
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values, they allow the professional development of agents, who are real actors in a collective success, but also the development of the laboratory itself. The PhD candidate will work under the supervision
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at least one EM simulation tool (e.g., HFSS, Momentum, EMX, etc.) Ability to write scientific papers Ability to work in a team Strong organizational skills Curiosity and eagerness to learn PhD-level training
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will join Electromagnetic Waves in Complex Media