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computational scientific workflows. Experience with scientific programming (Python or similar) Experience working in Linux-based computational environments Documented experience with high-performance computing
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, timing, power, and sign-off) Hardware accelerator development for deep learning, edge AI, and data-intensive workloads Energy-efficient and high-performance accelerator design Hardware–software co-design
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integrated circuits, which may include: design, simulation, and experimental validation of analog and mixed-signal integrated circuits and systems; low-power and high-performance data converters, sensor
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Other Positions Application Deadline 26 Apr 2026 - 23:59 (Europe/Copenhagen) Country Denmark Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme
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TIMSTOF OmniTrap MS Curate high-quality MS/MS datasets and perform detailed fragment ion interpretation Collaborate with computational researchers on downstream data interpretation and methodological
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Job Description We are looking for a Laboratory Technician (TAP) position to support the operation and development of the Danish Structural Imaging and Biomechanics Analysis Resource (DanSIBAR
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Technology, Computer Science, Artificial Intelligence, Data Science, Robotics or any other relevant field, at the time of admission into this PhD program. Students currently enrolled in Master’s programs can apply, provided
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spintronic-based computing. The position offers an exciting opportunity to join a cutting-edge research project focusing on the co-design of CMOS and spintronic devices for next-generation energy-efficient and
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pruning), carbon-aware computing, minimizing algorithmic complexity, maintenance requirements, mapping energy efficiency and related aspects using KPI (key performance indicators) with respect to ESG