21 computer-programmer-"Gustave-Roussy-"-"Gustave-Roussy-" PhD positions at Umeå University
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to develop novel machine learning methods to improve malware detection. The doctoral student position is offered within a research project financed by the Wallenberg AI, Autonomous Systems and Software Program
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educational programs in Computing Science, we are now seeking a PhD student with focus on Software Lifecycle Security. The Department of Computing Science has been growing rapidly in recent years, with a focus
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Umeå University is offering a PhD position in Computing Science with a focus on machine learning for graph
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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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global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally
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, including the Teacher Education Programmes, the Sport Science Programme, the Human Resource Management Programme, the Behavioural Science Programme with a focus on IT environments, and the Police Education
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at the Faculty of Medicine are enrolled in the faculty-wide doctoral training programme. The programme comprises 25 credits and is offered in two study tracks: 25 credits across 8 semesters (4 years) or across 12
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description The Department of Political Science is seeking two doctoral students in political science for the project Forest Governance Dilemmas. The call is an initiative within the research program Wallenberg
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, highly motivated for participating in the PhD programme, with strong analytical skills and the ability to work independently. You will be able to shape your project to a significant extent, beginning with
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research program that aims to understand the genetic principles of complex trait plasticity and develop climate-resilient plants using innovative techniques such as omics data interpretation, gene editing