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Field
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-compliant data infrastructures that enable secure data sharing, reuse, and AI-driven analytics Exploring and implementing federated learning and privacy-preserving AI approaches for distributed clinical
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 6 hours ago
lead advanced evidence synthesis within a place-based population health research program focused on youth health and well-being in Canada. The successful candidate will play a central role in conducting
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or other meetings to gather or distribute program or technical information Ensures compliance with Medicaid State Plan Provides support and research issues for Rural Health Clinics, Federally qualified
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Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number WF-1210-6/2026 Is the Job related to staff position within a Research
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quantitative modelling of energy systems, such as power system analysis, techno‑economic modelling or distributed energy resource studies. Demonstrated experience with computational modelling and programming in
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focus on a variety of key technologies like Distributed IT Systems, Internet of Things, IoT, Cybersecurity, Data Science, Artificial Intelligence (AI), Blockchain Technologies, Quantum & Photonic
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- 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jun 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe
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for understanding how AI-enabled control, optimization, and market design can support large-scale decarbonization, grid modernization, and the integration of distributed and flexible energy resources. Research topics
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computing software libraries (e.g., Trilinos, MFEM, PETSc, MOOSE). Experience with shared and distributed memory parallel programming models such as OpenMP and MPI. Experience with one more GPU or performance
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Sports and Exercise Cardiology research program focused on efficient, high-quality data collection in the exercise lab and clinic. This role will be working closely with clinicians and exercise