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collaboration. Please refer to Department of Animal and Veterinary Sciences (au.dk) for further information about the department: https://anivet.au.dk/en Living in Denmark Please visit the international staff
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for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning
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for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning
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The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the
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will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD
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The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the
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advanced methods and pilot data Who are we looking for? We are looking for candidates within the field of analytical chemistry who are enthusiastic about interdisciplinary collaboration with scientists and
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Job Description Are you ready to transform the future of biologics with AI? Are you passionate about understanding to drive AI research in interplay between AI-Protein design, automation, and
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performance engineering use cases, extensive software development experience, and knowledge of machine learning frameworks (such as transformers and torch) are pluses. MSc candidates about to complete will also
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. Variational Autoencoders, Normalized Flows, Generative Adversarial Networks) Have experience in developing fast algorithms for hard combinatorial optimisation problems. Have some knowledge about stochastic