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for detection and/or classification of bioacoustic signals. Extensive experience with programming (Matlab, R, Python) including GPU programming is required, and familiarity with edge-based machine
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and delay-differential equations. Scientific computing and numerical analysis Large-scale dynamical systems High-performance computing Parallel numerical algorithms GPU computing Strong programming
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network of collaborators and strong access to compute through national GPU systems (NAISS, e.g. Berzelius and Arrhenius) and local GPU infrastructure. Project description The position offers significant
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) or HPC programming (MPI, OpenMP, CUDA, GPU computing) is considered an advantage but is not required Motivation to conduct excellent scientific research and publish in leading international journals
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typical for an individual to be offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Overview: We are seeking
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Jülich supercomputers (GPU/CPU), or being combined with a practical modeling project. Your Profile You are currently enrolled in a Masters degree and are planning your thesis You are highly motivated
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | about 2 months ago
21 Aug 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Informatics Computer science » Programming Engineering » Computer
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within the consortium. Your Profile Excellent Master in Computer Science, Engineering, Biophysics, Applied Mathematics, Computational Biology, or a related discipline Proven programming expertise in Python
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goal to advance science. This role is ideal for individuals with a passion for AI research, strong programming skills, and a desire to work at the intersection of engineering and scientific discovery
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consumption on complex algorithmic or cognitive tasks. This project is part of the ELEVATE MSCA Doctoral Network (https://www.elevate-dn.eu/) and co-supervised by our partners at the university of