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of the postdoc is to plan and carry out the sub-project entitled Second Language Learning in Danish Social and Healthcare Education, which aims to explore linguistic minority SOSU helper students’ concurrent
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research in learning technologies, specifically the use of Generative Artificial Intelligence (GenAI) in higher education. What is the job? About the position as research assistant Centre of Educational
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methods for assessing generative AI’s compliance to GDPR. The purpose of the position is to build Bayesian metrics for privacy preserving AI(e.g., synthetic data generation, federated learning, and privacy
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Your overall focus will be to develop computational approaches to strengthen the Center’s protein engineering efforts, including developing new methods and applying state of the art machine learning. You
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Research, University of Copenhagen, Denmark. Candidates should have a strong background in (genetic) epidemiology, bioinformatics, statistical genetics, data science, machine learning, or a closely related
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), Experience or motivation for applying statistical and machine learning methods to strain design challenges, We offer DTU is a leading technical university globally recognized for the excellence of its research
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the analytical and statistical skills of the department with an emphasis on e.g. spatial modelling, movement ecology, bioacoustics and deep learning. To play a central role in contributing to the department’s
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cell and spatial RNA sequencing technology. Suitable candidate will acquire in vivo imaging and image analysis skills, collaborate on interdisciplinary projects with international collaborators, present
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for improving the computational prediction and modelling Teach and disseminate your knowledge Furthermore your key tasks as a PhD-student will also include: Carrying through an independent research project under
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background and the group at www.healthtech.dtu.dk/Isoform-Analysis Responsibilities Your objective will be to use probabilistic modeling and machine learning to create bioinformatic tools and databases