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. Ability to work independently but also as part of a larger interdisciplinary research team. PhD in one of the following areas: infectious disease epidemiology, mathematics, statistics, physics, AI
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Description of the offer : We are opening two positions in the field of “Metallic and Oxide Materials for Orbitronics and Magnonics” at Institut Néel, CNRS, Grenoble The first position (PhD
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria Academic: PhD in applied mathematics, computer science, or medical physics. Scientific interests: applied mathematics
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Eligibility criteria PhD in Mathematics. Candidates with expertise in one of the following research areas are encouraged to apply: - Complex foliations; - Birational geometry; - Qualitative theory of real
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FieldMathematicsYears of Research Experience1 - 4 Research FieldHistory » History of scienceYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in computer science or applied mathematics
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 days ago
-09249 Requirements Skills/Qualifications Essential: PhD in quantum information, mathematical physics, theoretical computer science, or related field. Research experience in quantum error correction
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or equivalent Skills/Qualifications PhD in analytical chemistry, physical chemistry, or materials science. Solid experience in spectroscopy, imaging techniques, and electrochemistry is expected. LanguagesENGLISH
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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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. 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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to the comprehensive analysis of field samples and the mathematical modeling of cellular interactions. LPHI includes four teams working on parasite models (Toxoplasma and Plasmodium), thus offering a stimulating working