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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 2 months ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:PostDoc in
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, distributed systems. Experience in DevOps tools, including but not limited to Docker, Kubernetes, building CI/CD pipelines Experience in language modeling research and LLMOps, including but not limited to LLM
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computational scientists. The position offers a unique opportunity to work at the interface of landscape ecology, biodiversity science, climate mitigation, and sustainable agriculture, contributing directly to
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or scholarship and may include teaching responsibilities The appointment is generally preparatory for a full-time academic or research career. The appointment is not part of a clinical training program, unless
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Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 4 days ago
within populations? How are changes in population health linked to how medical progress is distributed within and across populations, for example through in- and outpatient care? Population Resilience and
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/transformative innovation in the sector. Our vision is to become an “EO innovation hub” connecting EO with a growing ecosystem of disruptive and transformative innovation such as AI, ML, quantum computing, edge
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center fully integrated into the LIGO/Virgo distributed computing network. IFAE is in a privileged position to analyze the LIGO/Virgo/KAGRA data and, in collaboration with IFAE’s teams in CTA/MAGIC and
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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distributed devices (smartphones, wearables) to learn from new data streams over time (Continual Learning) while collaborating globally (Federated Learning). Analyze Mobile & Wearable Data: You will work with