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/or statistical modelling, demonstrated through thesis work and/or scientific publications. Solid programming skills, for example in Python (and/or R), and experience with relevant ML libraries (e.g
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. The project focuses on developing novel representation learning and generative modeling methods to construct a unified cellular morphology state space across heterogeneous datasets. By leveraging shared
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of Science and Technology and conducts research in biochemistry, organic chemistry, analytical chemistry, and physical chemistry. The research is focused on catalysis, molecular recognition, structure and
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focus. Within the framework of the projects, we will collaborate with researchers in Sweden, Europe and the USA. For this purpose, we are looking for a postdoctoral fellow with previous experience in
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expertise in existing methods and state-of-the-art in the field. The position includes algorithm design, software implementation, and validation on experimental datasets. You will contribute to building a
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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creating inclusive environments. Flexible and Supportive: Tailored training and career development designed to balance professional growth with personal commitments. State-ot-the-art Research: Engage in
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. Awareness of diversity and equal opportunity issues, with specific focus on gender equality Great emphasis will be placed on personal skills. Join us at KTH KTH shapes the future through education, research
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years ago. About us Uppsala BioCenter brings together scientists and students from the Departments of Molecular Sciences, Forest Mycology and Plant Pathology, Plant Biology, and Aquatic Resources
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upon Join us! The Department of Materials Science and Engineering aims to be an environment for successful and valuable research and education with a focus on materials science solutions for important