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is a project that will create a platform and pipeline for the development of biological drugs, from early phase, i.e. lead identification, until lead optimization and process development. The objective
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doctoral degree or an equivalent foreign degree in Physics/Physical Chemistry Deep understanding of fluorescence imaging principles and techniques Expertise in super-resolution fluorescence microscopy
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, and computational biology, and the department conducts research in areas such as differential operators and machine learning. Collaborations exist with the Department of Physics, the Meteorological
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-throughput datasets including metabolomics, proteomics, and transcriptomics. By aligning the model predictions with physical interactions between biomolecules, our approach ensures that the results are both
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challenge. The research group of Emil Marklund investigates how sequence information in biological macromolecules governs recognition, binding, and dynamical structure. This project aims to build physical and
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the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at the second cycle level, 60 credits in Life Science
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statistics, bioinformatics, computer science, physics or an equivalent topic (obtained latest October 1, 2024). Previous experience in stochastic modelling and inference is desirable. Candidates should also
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School of Engineering Sciences at KTH Project description Third-cycle subject: Biological Physics We are looking for a motivated student interested in biophysics and live-cell imaging to join the
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, diversity and equal conditions is both a question of quality for KTH and a given part of our values. For information about the processing of personal data in the recruitment process . The position may include
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cells. The models encompass metabolism, signaling, and gene regulation and are constrained to align with physical interactions between biomolecules. We train the models on high-throughput datasets