131 programming-"the"-"DAAD"-"EURAXESS"-"U"-"FEMTO-ST"-"UCL"-"U.S" PhD positions in Sweden
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strategies that integrate traditional ecological knowledge. Duties: The PhD-student will plan and execute a combination of large-scale field studies and lab-based data collection. Focus will be on six key
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Control Laboratory). Subject description The research subject focuses on an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling
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Deadline 7 Oct 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 1114--1-13601 Is
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Deadline 11 Oct 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 1114--1-13551
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29 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 583--1-9396 Is the
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assessment criteria: Knowledge in energy technology, large language models (LLMs), deep learning, and Python programming. Meritorious qualifications include knowledge in power engineering, power electronics
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Stockholm University, Department of Physics/EKMF Position ID: Stockholm University-Department of Physics/EKMF-PHD [#30519, SU FV-3223-25] Position Title: Position Type: Student programs Position
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terms of efficiency and distribution 4) Economic evaluations of health interventions and programs 5) Socioeconomic inequality in health and welfare. The research group contributes to both theoretical and
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Researcher (R1) Country Sweden Application Deadline 4 Oct 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting