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discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 270 dedicated
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solutions. Teach and supervise BSc and MSc student projects and be co-supervisor for PhD students. You must contribute to the teaching of courses. DTU employs two working languages: Danish and English. You
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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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, have the following skills and qualifications: a PhD in (genetic) epidemiology, statistical genetics, computational biology, machine learning or a related field. a strong computation background and
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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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/Isoform-Analysis . Responsibilities Your objective will be to use probabilistic modeling and machine learning to create bioinformatic tools and databases that enable and inspire other researchers to analyze
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vehicle routing, supply chain, and logistics. A proven track record of publications in relevant journals and conferences is necessary. Experience with different Machine Learning techniques is preferred, but
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Excellent communication skills and fluent in English, oral and written Familiarity with analysis of metagenomic data and machine learning techniques is a plus but not essential. Experience with data
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Skip to main content. Profile Sign Out View More Jobs Postdoc in Computer Vision with Deep Learning for Material and Computational Design – DTU Compute Kgs. Lyngby, Denmark Job Description Do you
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or entirely novel properties with respect to any single component (for instance, a functional entity in a biosystem). Extensions to decomposed machine-learning models developed in our lab will furthermore be