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joint projects Co-supervise BSc and MSc student projects and contribute to the teaching at our institute Present research results at international conferences and workshops Engage in knowledge transfer
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learning, or reinforcement learning) Have experience developing algorithms for combinatorial optimization problems Have knowledge about decomposition methods for mixed integer linear programs Are motivated
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on generating new knowledge for optimizing biological conversion of carbon dioxide to acetic acid in close collaboration with an industrial end-user of the developed technology. Responsibilities and tasks Your
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engineering, or a closely related field. Knowledge on SSM algorithms, Hands-on experience with layout and tape-out of CMOS chips. Experience in AI chip prototyping and hardware-software co-design. Solid
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nearing completion) in Electrical Engineering, electronics engineering, power electronics, or a related field. Basic knowledge of Basic knowledge of power converter topologies. Basic knowledge of digital
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part of the Perception and Cognition for Autonomous Systems Group (PCAS), and you will find yourself among multiple PhD students and senior researchers working on multiple aspects of autonomous robotics
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and machine learning, you will help develop new methods for understanding complex failure mechanisms—an area where existing industrial knowledge remains limited. The project will be executed in three
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learning, you will help develop new methods for understanding complex failure mechanisms—an area where existing industrial knowledge remains limited. The project will be executed in three systematic phases
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qualifications we are looking for: Excellent knowledge and practical experience on current molecular microbiology methods Experience with genomic and transcriptomics data analysis is beneficial. Experience with
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University but includes satellites at several other Danish and international research institutions. CORC strives to develop knowledge and scalable technology that can be used to capture and recycle carbon