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mathematics Appl Deadline: (posted 2025/12/11, listed until 2026/01/16) Position Description: Apply Position Description Postdoc in Algebra-Geometric Foundations of Deep Learning or Computer Vision KTH Royal
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 26 days ago
26 Nov 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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intelligence within a precision health framework. Job description The successful candidate will lead and support computational and integrative biology projects aimed at understanding the early molecular and
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communication skills in English ADDITIONAL SKILLS Experience from simulation to physical robot transfer for complex robotic platforms Hands on experience with perception tools for mobile/legged robots Strong
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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sciences. The postdoctoral researcher will interact at CAMS and within the ReaCh project with colleagues from various disciplines: mathematics, physics, computer science and sociology. The project on urban
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Application Deadline 14 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Qualifications •Ph.D. in Chemistry, Chemical Engineering, Materials Science, Physics, Computer Science, or a related field. PhD must be awarded no more than four years prior to the effective date of appointment
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
dynamics, quantum mechanical simulations, and machine learning. Proficiency in programming languages and computational software’s. Strong motivation and passion for research in the field of sustainable
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computer science, mathematics, or physics, a thorough understanding of reinforcement learning, fluency in English. The ideal candidate: is interested in working in a multi-disciplinary project also involving