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The High Performance Computing (HPC) research group (led by Prof. Florina M. Ciorba) in the Department of Mathematics and Computer Science at the University of Basel (Switzerland) invites
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-cancer drug discovery. Your main tasks will be: Developing new strategies to combine high-throughput metabolomics with 3D cell culture models Perform large chemical and genetic studies in cancer cell lines
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to combine high-throughput metabolomics with 3D cell culture models Perform large chemical and genetic studies in cancer cell lines derived spheroids Develop predictive model of drug response by comparing 2D
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, Strong self-motivation and commitment to research, high degree of independence, and creative approach for solving problems, Excellent presentation skills, Very good level of English (both written and
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technologies with clinical practice, developing solutions that enable accurate and real-time diagnosis and therapies. Project background Polyethylene wear is a major factor affecting the long-term performance
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), Team player with excellent communication skills and collaborative working style, Strong self-motivation and commitment to research, high degree of independence, and creative approach for solving problems
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that enable accurate and real-time diagnosis and therapies. Project background Polyethylene wear is a major factor affecting the long-term performance of hip implants, as it can lead to particle-induced
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: Design and perform experiments using NMR spectroscopy and single-molecule FRET Purify and biochemically characterize proteins and their complexes Analyze and interpret advanced biophysical and single