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better and faster decisions when assessing funding applications, ensuring the efficient and unbiased elimination of poor applications? This question can be addressed through training algorithms on past
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agricultural robotics and new sustainable farming practices. The PhD projects will be combining new sensor systems and perception algorithms. So, if you are one of the 2 selected applicants, your primary
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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multidisciplinary team of approximately 10 PhDs and postdocs, fostering a strong collaboration between DTU Physics and DTU Construct. Our group is a global leader in the field of metal plasticity. We invented
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interaction with the other PhDs/Postdocs and more senior scientists within the MicroAM project. Responsibilities and qualifications If you are interested in numerical simulations of advanced manufacturing
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projects. Specifically, the candidate will work with the identification and quantification of the origins of plastic pollution in the Arctic and its distribution in marine ecosystems. The project will be
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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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, Aarhus University and be closely affiliated with CentR-A and the finance section. Steffen Meyer heads the Center, consisting of two PhD students, two postdocs, affiliated researchers from the finance
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transcription factor in most cancers, where it cooperates with many different protein complexes to activate diverse pro-tumorigenic pathways. Together with a senior postdoc in the lab, you will lead a research
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grades were distributed in the year of your graduation will be appreciated. Please note that Aarhus BSS Graduate School reserves the right to evaluate the applications on the basis of the documentation