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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 22 days ago
leverage machine learning techniques to bypass IO bottlenecks in the context of physics simulation on high-performance computing (HPC) clusters. This work is thus placed in a broader ``Machine Learning for
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). Applications from candidates without documented hands-on mouse experience will not be considered. The project also includes high-throughput metabolic profiling of genetic perturbations, computational data
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(R1) Application Deadline 22 Jun 2026 - 21:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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excellent performance in their Bachelor's studies. A cumulative grade point average of 2.0 or higher is required (converted to the German grading system). Academic Requirements Candidates have completed
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Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure
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Degree Dr rer nat Course location Bonn Teaching language German English Languages Courses are held in English. Workshops are held in English (80%) and German (20%). Programme duration 6 semesters
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chemistry Computer science » Programming Computer science » Modelling tools Neurosciences » Neurobiology Neurosciences » Neurology Neurosciences » Neurochemistry Pharmacological sciences » Clinical
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19 Mar 2026 Job Information Organisation/Company IMDEA Networks Institute Department Secure Mobile Systems Group Research Field Computer science » Other Researcher Profile First Stage Researcher (R1
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traffic data processor capable of performing tasks like flow classification, anomaly identification or intrusion detection at Gbps without the need for external hardware or time-consuming cross-plane
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performance in the required courses of the PhD programme will be evaluated by regular testing and confirmed by the supervisor. PhD students determine their individual courses of study in accordance with