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is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position. Preferred selection criteria Wet lab experience Experience with computer-aided design
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technology Researcher Profile First Stage Researcher (R1) Application Deadline 14 May 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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training datasets; Design and carry out laboratory experiments to produce representative experimental training data; Develop physics-informed machine learning algorithms, trained on both numerical
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produce and what policymakers and enforcement agencies can confidently use. The current validation frameworks were designed for annual or static products and fail to address several key areas: Time-evolving
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motivated candidate with a strong background in statistics and/or machine learning. Areas of particular interest include, but are not limited to: Causal Discovery and Causal Inference Extreme Value Theory
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. The project focuses on power-aware computing, thermal optimization, and sustainable electronic design, targeting critical applications in aerospace, healthcare, and industrial automation. Hosted by the renowned
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. The robotics group at NMBU conducts research in two key areas: (1) mobile robotics for agriculture, and (2) manufacturing and food processing. This PhD position falls within the first area, targeting the design
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multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to optimize the design of hybrid electrical–optical computing architectures
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for the computer simulation of electronically excited processes in molecules and materials. In the age of net-zero it is more important than ever to obtain a deep, molecular-level understanding of the working
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of the doctoral student at LiU is machine learning for D-MIMO systems, while the doctoral student at LU is expected to focus more on telecommunications aspects of the project such as design aspects, software