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research network and good industrial and professional collaboration. Please refer to Department of Animal and Veterinary Sciences (au.dk) for further information about the department: https
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about the project here https://www.planttip.dk/ In this already ongoing project, we are now moving into the phase of building the model, using available knowledge, data, and theories on consumer
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international research network and good industrial and professional collaboration. Please refer to Department of Animal and Veterinary Sciences (au.dk) for further information about the department; https
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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control
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machine learning methods and pipelines. Qualifications Ideally, you hold a PhD in Data Sciences and have several years of experience collaborating with scientists in natural sciences, particularly
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-Intensive Systems group studies management and analysis of complex data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining
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funded under the national CERN lighthouse initiative to strengthen Denmark's engagement with CERN, https://phys.au.dk/dirac-center. Your profile The ideal candidate has strong backgrounds in
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-temperature condensed phases - a frontier area essential for understanding how chemical complexity arises in space. https://phys.au.dk/irastro About InterCat – Center for Interstellar Catalysis InterCat is
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Department of Animal and Veterinary Sciences (au.dk) for further information about the department: https://anivet.au.dk/en Place of work and area of employment The place of work is the Department of
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learn more about the lab: https://www.synaptic-logistics-lab.com/ What we offer The department/centre offers: a well-developed research infrastructure, laboratories and access to shared equipment an