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Field
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Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description The rapid development of large offshore
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health, pharmacy, public health or health information management, or a related field, such as digital health, health informatics or psychology, with demonstrated experience in health settings Demonstrated
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procedures, chip fabrication processes, metrology, and testing routines. Knowledge of photonic chip packaging principles and testing. Knowledge of research compliance, safety standards, and ethics. Excellent
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from the interaction between body, computation, and environment, across flying, ground, and aquatic robot configurations. Our mission is to chart a generalisable path for physical AI and transform how
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within the M2i framework Your work environment You will be part of Team Dey within the Computational Materials Science section at TU Delft. This team focuses on atomistic simulations to investigate
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program HE / ERC Please note: You can apply online. We will not process applications sent by email and/or post. As part of knowledge security, TU Delft conducts a risk assessment during the recruitment
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Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural
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will operate at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems
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16 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile