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application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine
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learning Supervisors: Prof. Anneli Kruve (main supervisor); Prof. Jonathan W. Martin (co-supervisor) This project aims to discover toxic and structurally novel chemicals in high resolution mass spectrometric
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. The student will collaborate closely with the PI and her research group at Umeå University to investigate the proposed learning approach. The PhD student is expected to produce research outputs relevant
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++ or similar) and an interest in quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not
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position is on the machine learning method development. We will strive for a tight collaboration between the groups, including regular meetings and research visits. As a PhD student in the project, you are
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care about creating a positive, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning and development for all employees. We are also
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competencies in molecular design and synthesis, synthesis of organic and inorganic materials, chemical analysis and structure and morphology analysis, both in solution and solid state. We teach in the core
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science at Umeå University is looking for a doctoral student in machine learning
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learning for software security. The position is for four years of full-time doctoral studies at the Department of Computing Science, where you will be able to work in a dynamic environment with 170 employees
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, spectroscopic signatures, microstructural images, processing conditions, and macroscale performance will be used for the optimization of materials. The candidate will collaborate extensively with in