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Immunology and Computational Biology Reference number: 2025-0105 We are deploying advanced in vitro and in vivo model systems, genetic perturbations and single cell technologies with spatial readouts to study
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translational correlative approaches using biospecimens from patients enrolled on these trials. The specific role of the candidate will be to perform primary computational biology analyses on samples from
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sciences. Since cancers are complex systems, biomedical discovery in oncology depends on the ability to develop methods that can extract novel insights from data. The Sottoriva Lab in the Computational
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creative individuals who are able to leverage the latest experimental and computational technology to develop new research directions reflecting their own interests related to brain development. The lab and
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computational biology/chemistry, machine-learning for biological or chemical data, and drug discovery/design. Mentorship is taken seriously and every effort will be made to ensure the candidate is able to achieve
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Systems Engineering, Computer Science, Software Engineering, Mathematics, or a related field Experience with interdisciplinary, multidisciplinary, or transdisciplinary research projects and related research
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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European Molecular Biology Laboratory (EMBL) , with complementary research expertise at the forefront of molecular medicine research. With the NORPOD program, the Nordic EMBL Partnership aims to foster
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(LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in
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(independently and in our team) involvement in teaching across different life science study programs at the Faculty of Medicine Required skills: Ph.D. (or comparable) in Bioinformatics, Computational Biology