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to act in accordance with the university’s policies on equal opportunities and data protection. Other Qualifications You must have at least 240 higher education credits (ECTS), of which at least 60 credits
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involves collecting clinical data on the effects of childhood cancer treatment, bioinformatically handling sequence data and developing prediction models, as well as conducting Single Cell RNASeq studies and
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with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected to the project are: PhD Student Position in Generative
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qualifications Marine biogeochemical processes Hydrodynamic processes related to ships, turbulence, or mixing Oceanographic modelling Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary
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robots -Distributed task planning for collaborative missions -Behaviour tree based multi agent collaboration -Reactive task allocation in large scale missions For further information about a specific
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. -Mission-specific modules such as autonomous firefighting, sampling, rescue operations, or large-scale mission planning. For further information about a specific subject see general curricula for the Board
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to agreement. As a PhD student you will be enrolled in a highly qualified education within a thriving research environment. For more information about our PhD program, please visit our information page. You will
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function of retained trees for lichens will be evaluated. This will be done by field studies, analyses of already collected data, and a meta-analysis of published studies. By working at Kopparfors, the Ph D
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This position is part of the project VIRAL BRAIN (Viral Big-data Research on Acute Infectious Neuropsychiatric Complications). You will use extensive Swedish national registry data to examine the risk and
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application! We are looking for one or two PhD students in Multiagent Automatic Control at the Information Coding Division (ICG), which is based at the Department of Electrical Engineering (ISY). You will be