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Republic. It belongs to the Department of Cancer Research, whose research activities focus on the cellular and molecular mechanisms of tumor progression using a wide range of cutting-edge technologies
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endanger the performance and lifetime of these reactors. We will develop a predictive multi-scale modeling framework to understand and mitigate this damage. At the atomic scale, molecular dynamics
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molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research
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for digital twin: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time
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multi-disciplinary lab that utilizes various techniques (analytical chemistry, biochemistry, molecular and cellular biology, NGS sequencing, nanopore sequencing, proteomics, and bioinformatics) in
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previous laboratory experience required. Willingness to routinely work with mice. Experience with animal models, molecular biology methods, cell culture and protein biochemistry required. Work with iPSC
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molecular modelling methods, including molecular mechanics, molecular dynamics and quantum mechanics. Practical experience with small-molecule binding affinity prediction, e.g. MM/PBSA and free
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Department Summary The Department of Molecular, Cell, and Developmental Biology advances our knowledge of life on earth at the cellular and molecular levels. Our mission is to educate the next
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research focuses on identification of tumor cell of origin and elucidating the role of tumor microenvironment in cancer development. We dissect the cellular and molecular mechanisms of carcinogenesis from a
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responsible for the mutation of oncogenes leading to chromosomal gene translocations and B cell malignant transformation. Therefore, understanding the basic molecular mechanisms involved in GC formation and