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of the ANR ERMONES project. He/she will hold a PhD in Polymer Science. Team 1, entitled “Catalysis and Polymerization Engineering,” is led by Frédéric Peruch. The team develops alternative strategies
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- The candidate must hold a PhD in theoretical chemistry or physics. - expertise in quantum chemistry and ab initio molecular dynamics, quantum dynamics if possible - be able to program and script in a language of
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foundations of feature learning in neural networks. Engage in the life of the CSD, including participating at the weekly seminars. Present results internally and at international venues; Qualifications PhD in
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candidate holds a PhD in chemistry, biochemistry or biophysics (or related discipline), and a strong interest in interdisciplinary work on (viral) proteins. S/he will have experience in structural biology
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of Research Experience1 - 4 Research FieldPhysics » BiophysicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Candidates must hold a PhD in organic polymer chemistry and have
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of Research ExperienceNone Additional Information Eligibility criteria - The applicant must have a PhD in physical chemistry, colloid science, soft matter physics or related fields of research - Skilled in
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ExperienceNone Research FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria PhD in materials science (physics and chemistry) and materials characterization, nanomaterials
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results in leading conferences and journals Required Qualifications PhD in one of the following areas (or related fields): Machine learning / deep learning Quantum computing / quantum information Applied
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. Selection process 1) Cover letter in which the candidate briefly explains his or her background, its relevance to the post 2) Curriculum vitae 3) Two recommendation letters 4) copy of PhD diploma Psychology
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chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria The candidate must have a PhD in computational chemistry, ideally in material and/or surface science. Experience in modelling