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activities, which also include responsibility for the master's programme in Naval Architecture and Ocean Engineering and contributions to the education of seafarers. Your profile To qualify for this position
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will consist in the porting and optimization of parallel and heterogeneous programming models for the upcoming multiprocessor systems developed in the DARE project . The focus of DARE are long vector
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decision-making in clinical settings. Project description In this project, we plan to combine AI-driven telemonitoring with specialized home care to improve management of heart failure patients. Using AI, we
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society. With unique research expertise, we offer education at the undergraduate and graduate levels, as well as within our international master's programs. The Electronics Materials and Systems Laboratory
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candidates to also propose new directions aligned with their and our research (https://starlab.systems ). This position is funded by the prestigious WASP program, and as such comes exciting career development
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Application Deadline 30 Mar 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 304--1
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Deadline 31 Mar 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 304--1-13801 Is
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(R2) Country Sweden Application Deadline 15 Apr 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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Researcher (R2) Country Sweden Application Deadline 31 May 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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: A comprehensive CV, including a complete list of publications. At the top of your CV, please specify: Title of your PhD thesis At what University you earned your PhD What year you received (or plan