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research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and
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technologies such as single-cell transcriptomics, cerebral organoids, and advanced imaging to build our understanding of the biological processes behind the earliest stages of neurodegeneration and ageing
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skills. Main duties will include: conduct tissue-mechanical and imaging experiments using early avian embryos; acquire and process data; prepare reagents and samples; optimise protocols; program and debug
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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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within the Clusters of Excellence ‘Machine Learning for Science’ and ‘Image-Guided and Functionally Instructed Tumor Therapies (iFIT)’. Requirements PhD in Bioinformatics, Computational Biology, or a
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submitted but not yet received their PhD and those who are in the process of submitting their PhD thesis (in which case appointment will initially be made at research assistant, Grade 5, and amended
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submitted but not yet received their PhD and those who are in the process of submitting their PhD thesis (in which case appointment will initially be made at research assistant, Grade 5, and amended
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sometimes resulting in the need for patients to return for a second surgery for axillary node clearance. Applicants will have a strong first degree and will also have or be close to completing a PhD in any of
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the Swedish Knowledge Foundation. In this position, you will belong to a research group with six senior researchers and several PhD students. The research focuses on managing data and information essential
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and