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28 Jan 2026 Job Information Organisation/Company Universität Siegen Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Application Deadline 11 Feb 2026 - 22
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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
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on various aspects of (micro)palaeontology, which will constitute a rich and exciting working environment for the successful candidate. https://www.ugent.be/we/geologie/en/research/organization/palaeontology
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computational biology, data mining, human-computer interaction and experience, machine learning, meta-heuristics, networking and mobile computing, parallel and high-performance computing, software engineering
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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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details, the following tasks will be carried out in parallel: 1. The PhD student will extend the current database (see, J. Chem. Theory Comput.2025, 21, 8010−8033) by obtaining highly-accurate reference
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physics Physics » Thermodynamics Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Application Deadline 19 Apr 2026 - 23:59 (Europe/Brussels
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Program, 11 pathology fellowship programs (including a 2 seat GI/Liver Pathology Fellowship Program), affiliated clinical residency and fellowship programs, medical school, and other graduate health
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 2 months ago
into the high-performance code hawen (https://ffaucher.gitlab.io/hawen-website/ ) with the support of the development team, enabling their application to real-world applications. The program will be divided
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to enable massively parallel processing of ABMs on NVIDIA graphics processing units (GPUs), without the need for specialist understanding of GPU programming or optimisation. This project will explore