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. The work will be carried out within the “Computational Biology” team led by Bianca HABERMANN. As the laboratory is composed of members of various nationalities, proficiency in English is essential. Where
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. in Biochemistry, Molecular Biology, Analytical Chemistry, Bioinformatics, or a related field. Experience working with mass spectrometry instrumentation, associated software platforms, and data analysis
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collaborative research environment, engaging with colleagues across Earth Sciences, Computer Science, Geography, Economics and the Saïd Business School, as well as external academic and industry partners. You
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, computational physics, quantum information, quantum computing, applied mathematics, computer science or a closely related discipline. Candidates who have submitted their thesis and are awaiting award may be
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of computational biology, protein language models, structural biology, and immunology. 🎯 Main Missions Build and curate large-scale antigen sequence datasets for training and fine-tuning protein language models
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will lead independent projects in a supportive, high-energy environment and work alongside an interdisciplinary team spanning experimental tumor immunology, computational biology, functional genomics
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, Statistics, Computer Science or conjugate subject and have a strong record of publication in the relevant literature. Good knowledge of machine learning algorithms is essential, as well as proven competence in
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-throughput functional genomics, and/or computational biology. Candidates should be highly collegial, hard-working, reliable, and curious, with a strong professional track record and excellent written and oral
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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on Physics. SPARC is a new research centre connecting experts across space technology, operations, governance and security. We are founded on the principle of open, rigorous and independent research to grow