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teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. The duties include: participation in research within
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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society in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read here
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Applicants should have a PhD in medical science such as epidemiology, biostatistics, computer science, statistics, etc. We will also consider those with PhDs in other areas but who have advanced/relevant data
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collaborative departmental and interdisciplinary research. This is a position of three years with possibility of extension. Your profile To be eligible for employment as a postdoctor, a PhD or a foreign degree
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high-throughput stimulus-response experiments and use the data to train deep learning models of cancer. This allows us to identify systems-level mechanisms that can be used to uncover new biomarkers
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research. This is a position of three years with possibility of extension. Your profile To be eligible for employment as a postdoctor, a PhD or a foreign degree deemed to be equivalent to a Swedish PhD is
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, computer science, or similar topics. Experience with optimization, data-driven or machine-learning skills are meritorious. The candidate must have the PhD degree in hand before enrollment, but it is not required
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use the data to train deep learning models of cancer. This allows us to identify systems-level mechanisms that can be used to uncover new biomarkers, drug targets, and paths to drug resistance. We
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use the data to train deep learning models of cancer. This allows us to identify systems-level mechanisms that can be used to uncover new biomarkers, drug targets, and paths to drug resistance. We