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qualifications Documented experience with data analysis and programming (e.g., Matlab, Python or R). Experience of risk assessment and/or decision analysis Experience of probabilistic methods such as Monte Carlo
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profiles: A computational researcher with an interest in cancer genetics. The ideal candidate has a strong foundation in computer science/computational biology. Specific experience in analyzing sequence
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those who can demonstrate other educational or particular professional experience where this is judged to provide the necessary qualification for doctoral studies comparable to that provided by the degree
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’ learning and experiences in public educational environments, such as the Visualization Center in Norrköping. The goals of the project are to identify AI-guide characteristics, investigate interactions
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failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel
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if you have worked with prediction models, machine learning or AI models and are familiar with blood cells such as neutrophils, leukocytes and platelets. Work experience in the area is meritorious. If you
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resolved gene expression without the need for extensive experimental data. By learning the underlying mappings between these domains, synthetic data will be generated that reflects potential drug responses
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first-year coursework, workshops, mini-courses and an annual workshop for doctoral students. Teaching experience and possibilities for pedagogical training which will be meritorious for a future academic
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an English-speaking environment Meriting qualifications: Experience in performing spatial analyses (GIS) Experience working with large databases Experience working independently and organizing one’s own work
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fabricate demonstrators in our state-of-the-art Nanofabrication facility and perform experiments in the terahertz characterisation facility (Kollberg Laboratory ). As a PhD student, you are expected