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2 bacterial cultures from freezer stocks in preparation for assays. Growth, maintenance and testing of human derived cell lines for cytotoxicity analysis. Preparation and sterilization of growth media
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/Anders Lien 4th October 2026 Languages English English English 3-years PhD position in probabilistic machine learning and statistics Apply for this job See advertisement About the position We invite
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, clinical data and AI-driven modelling for cancer research! In this role, you will bridge the gap between machine learning, computational biology, and haematological oncology. You do not need to arrive as an
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derivatives that display anticancer activity against GBM cells and are relatively less toxic towards human astrocytes. Particular GBM cell lines used in this screening present differential sensitivity
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, physiology-aware models of bacteriophage infection by combining high-throughput single-cell microscopy, microfluidics, image analysis, and mathematical modelling. The work will contribute to understanding how
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. Depending on the candidate's profile and interests, the thesis may develop along one or several of the following directions, at the crossroads of statistical physics, biophysics, and machine learning
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adaptive genomic differentiation along elevation in high tropical mountains. You will benefit from international networking, hands-on bioinformatics training and research mobility thanks to our close
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translation, biomedical sensing, and data-driven health technologies. This includes mobile health (mHealth) systems, clinician- and patient-facing software applications, wearable-integrated sensing platforms
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improved using machine learning techniques. The developed techniques will be applied to metrology of semiconductor samples. Job requirements You are an enthusiastic candidates with a ‘drive’ for applied
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year) Mobility grants, conference funding, international exchanges, and startup support Free workshops on entrepreneurship and commercialization Who Can Apply? Applicants should hold a Master's degree