43 phd-in-computer-vision-and-machine-learning PhD positions at Umeå University in Sweden
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and with national/international partners. It is time-limited (4–5 years) and may include up to 20% teaching. As a PhD student, you will be admitted to the faculty’s doctoral program and actively
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university as a workplace Description of work About the
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. We are looking for a PhD student in Medical Science with an interest in molecular and structural virology
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university as a workplace Description of work About the
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university as a workplace Description of work About the
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at the Faculty of Medicine will be part of the faculty-wide doctoral education programme. The doctoral programme comprises 25 credits and is offered in two study variants: 25 credits spread over 8 terms (a total
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. We are looking for a PhD student in Molecular Biology and a special interest in microbial evolution and ecology
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. Commitment and motivation to complete a four-year PhD program. About the employment The position is intended to result in a doctoral degree. The main task of the PhD student is to pursue their doctoral studies
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tasks As a PhD student, you will be part of a research team that combines experimental and computational methods to understand membrane protein transport and signalling processes. The focus is to develop
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, computer science, machine learning, bioinformatics, or a related field and have excellent skills in computational modeling. The candidate must have experience in machine learning or statistical modeling and