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Are you passionate about tackling climate-related challenges and empowering climate-affected communities in Africa? Do you want to pursue an interdisciplinary PhD research project with a real-world impact that supports the climate resilience of at-risk populations in five African countries. If...
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must hold a Master degree in Electrical Engineering (or equivalent), have a solid mathematical background (e.g. in control theory and optimization) and have taken specialized courses in at least one of
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using imaging, proteomics and biochemistry. Supervision and training. Expected skills: General knowledge of chemistry and biology, basic concepts in mathematics, statistics and physics. Health and safety
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; building state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming techniques); giving mathematical proofs of their correctness and efficiency
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energetic constraints on circuit function. Deriving design principles for neural networks performing complex tasks. We employ computational and analytical methods from applied mathematics and physics
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: Completed (or in the process of completion) a relevant MSc degree in computer science, systems and control, engineering, applied mathematics, or a related field. A strong background or interest in formal
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backgrounds such as in computer science, mathematics (pure or applied), or engineering. The successful applicant will be highly motivated, have excellent time management, and a proven track record in
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applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
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PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Institute for Ophthalmic Research, index number 6680 Part-time: 65 % Limited: 42 months Start of work: 01.01.2026 Application deadline: 05.10.2025 Tasks To perform an independent experimental or computational PhD...
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12 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Engineering Computer science Mathematics