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Field
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related fields. Experience in Machine Learning/AI, mathematical, computational and statistical training are also advantageous. About the employment The employment is a temporary position of two years
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 13 days ago
, CIRAD AMAP, CIRAD PHIM, CIRAD PBVMT, INRAE ePhytia, INRAE IGEPP, INRAE LISAH, IRD EGCE, IRD IEES, Univ. Paris Saclay, TelaBotanica). This is a postdoctoral position in Machine Learning, more
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topics: Free space optical communication Visible light communication DSP for coherent optical communication Machine learning and AI-native physical layer design Optical reconfigurable intelligent surfaces
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artificial intelligence/machine learning (AI/ML). The successful candidate will contribute to the group’s broad physics program, which includes precision Higgs and Standard Model measurements, and searches
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. Minimum Requirements: PhD or equivalent doctorate (e.g., ScD, MD, DVM) in psychology, psychiatry, neuroscience, biostatistics, bioinformatics, computer science, or a related field. Research background in
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for the Science of Learning & Technology (SLATE), Faculty of Psychology there is a vacancy for a postdoctoral research fellow position within artificial intelligence and education. The position will also
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of compressible flow regimes, including supersonic and hypersonic flows, as demonstrated by application materials. Familiarity with machine learning or data-driven modeling approaches in fluid dynamics, as
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related discipline. Strong expertise in medical imaging and/or machine learning. Excellent programming and research skills. Interest in translational research and interdisciplinary collaboration with
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electro- and thermocatalysis, in collaboration with PhD students. You will: Synthesize catalysts (thin films or metal nanoparticles). Characterize catalysts using a wide range of advanced techniques
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field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming