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, molecular communication, and systemic molecular networks, and to identify how these processes change across physiological and disease states. Through this work, you will develop predictive and biologically
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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more about Doctoral studies (PhD) | KTH | Sweden . Union representatives Contact information for union representatives. Doctoral Student’s network (Students’ union on KTH Royal Institute of Technology
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. Doctoral Student’s network (Students’ union on KTH Royal Institute of Technology) Contact information for PhD chapter . To apply for the position Apply for the position and admission through KTH’s
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these programs will facilitate the group members’ nationwide networks and multidisciplinary collaborations. Working in a young team, group members will benefit from first-hand guidance from the principal
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training to the Swedish life science research community, with a strong national and international collaborative network. The main responsibilities are to: Carry out advanced data analyses within nationally
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SciLifeLab community both locally in Uppsala and in Sweden at large. For information about the SciLifeLab fellow program, see https://www.scilifelab.se/research/#fellows . SciLifeLab Fellows are also part of a
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providing advanced bioinformatics support, infrastructure and training to the Swedish life science research community, and participating in international collaborations. Within NBIS, you will be part of
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multi-omics integration with advanced machine learning, including artificial neural networks, to predict disease-relevant splice variants across cardiometabolic diseases. By leveraging extensive meta
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Are you interested in developing mathematically grounded methods for uncertainty quantification in deep learning, particularly for large language models in healthcare applications? Are you looking