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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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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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. Requirements: We are looking for a highly motivated candidate with a PhD in theoretical/computational physics or applied mathematics. A strong background in quantum mechanics and numerical simulations is
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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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equipment. Where to apply E-mail job-ref-ils30dym81@emploi.beetween.com Requirements Research FieldEngineering » Civil engineeringEducation LevelPhD or equivalent Skills/Qualifications PhD in Rock Mechanics
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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