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collaborating experimental research groups. Previous experience in computational modeling of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based
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in AI to study natural and artificial minds in parallel, creating the opportunity to make discoveries about ourselves and to find new ways to understand and improve AI systems. Appointments will be
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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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, including parallel file systems. Uses of tools, scripts or programming, the automation of routine tasks are required to reduce manual workload, improve response time and to ensure system reliability. Creates
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, that of the fruit fly Drosophila melanogaster. The Institute is a key performer in the NIH BRAIN CONNECTS program, which aims to scale connectomics up to the whole mouse brain. This is a one-year term position with
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competitive programme of research and teaching. The Kennedy Institute is a biomedical research centre uniquely bringing together discovery science and early-stage clinical research, to develop transformative
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GPU-capable, parallelized simulation frameworks. Work closely with experts in HPC and power systems to enhance scalability and computational performance. Disseminate your findings through scientific
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing
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Application Deadline 23 Mar 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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strong background in applied mathematics Excellent programming skills (Python, C/C++) Good experience in machine learning and parallel computing Good organisational skills and ability to work both