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with Bioneer, DTU Bioengineering, DTU Health Tech, and KU, DTU Compute is aiming to create a shared data framework and platform to pioneering models and methods with applications to stems cells
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Job Description Are you looking to grow your career in intelligent embedded systems and edge computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute , where your
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intelligence within grid-connected power converters and variable-frequency motor drives with edge computing and machine learning capabilities. We offer a multidisciplinary, international, and friendly atmosphere
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across Europe. Your primary tasks will be to: Design and implement manipulation strategies for mobile robotic platforms operating in unstructured mining environments Develop control methods for physical
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with other group members using your methods. A background in solid mechanics or materials science is an advantage. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a
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read more about DTU Compute at www.compute.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure
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rearrangements, and cell death. Are you passionate about understanding how cells maintain the genome and do you have a desire to use cutting-edge high-throughput methods in combination with the use of fluorescence