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interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems
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. The project is part of an international collaboration with leading experts at KTH Royal Institute of Technology in Sweden, offering the opportunity for extended research stays at both DTU and KTH. We
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pioneering quantum-enhanced Raman and Rayleigh scattering microscopy within a cutting-edge research center at the intersection of quantum technology and biomedicine. You will become part of a vibrant
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-disciplinary involving algorithmics, stochastic optimization, multi-criteria decision making, and data science. As part of the project, you will implement and test algorithms and further develop your skills in
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degree (or equivalent) in chemical engineering, materials science engineering, coatings science or a closely related discipline in an area associated with coatings technology. We offer DTU is a leading
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genomic data from extinct and extant species, and machine learning, you will help develop a foundational tool for predicting extinction risk and advancing the use of genomics in conservation science. Job
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degree (or equivalent) in microbiology, biotechnology, food science, or a closely related field. Strong background in yeast biology, fermentation technology, or protein-rich microbial systems. Experience
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online application must be submitted no later than 30 September 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please
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submitted no later than 30 September 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now