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Field
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on these considerations, solutions will be developed and implemented to create an advanced testing platform for the comprehensive evaluation of the long-term stability of invasive brain-computer interfaces. Your task will
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, reproducible computational workflows for large-scale screening and multiscale model integration. HPC at Scale: Run, optimize, and profile large simulations on HPC systems; ensure efficient parallel performance
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/d) in Energy Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
Researcher (R1) Country Germany Application Deadline 30 Oct 2025 - 06:41 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
Researcher (R1) Country Germany Application Deadline 30 Oct 2025 - 06:38 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
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(GRK) 3096 “One Health Approach to Soil-Transmitted Helminths,” successful applicants will work on scientific projects in an interdisciplinary manner within a structured program. The projects address
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of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support computational thinking
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. Particularly, we would like to address mixed-phase processes in deep convective clouds to understand how these clouds interact with aerosol: How do deep convective clouds affect the aerosol size distribution and
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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structured program. The projects address the three “One Health” aspects: 1) human roundworm infections (close cooperation and fieldwork in Kenya/Africa), 2) roundworm infections in farm animals (chickens and