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Field
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of MSI advances our understanding of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as
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of vegetation, presenting the ability to derive the internal functional traits and physiological properties of trees. This PhD position focuses on developing a method to capture localized measurements of water
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includes image data processing/analysis and writing project reports. Qualification requirements Required Qualifications PhD in molecular biology or equivalent competence. Experience working in a laboratory
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, Religious Studies, and Theology under the same roof. We also have three national infrastructure resources within the department's area of operation, the... Read more Type of employment Temporary position
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of new techniques for mass spectrometry imaging and single cell mass spectrometry to reveal chemical processes of importance to biological function and dysfunction. The research group has recently received
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will be run in the Division of Computer Networks and Systems within the Department of Computer Science and Engineering . Within the Division we have four faculty members, four postdocs and eleven PhD
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Analysis, Image Analysis, Machine Learning and Computer Vision, as well as Mathematical Statistics, Probability Theory, and Mathematics Education. The degree courses lead to bachelor, master, and PhD degrees
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fluid mechanics, colloidal science and chemical engineering, to understand food processing at a fundamental level. As a PhD-student, you will work on the research front and collaborate with industrial
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of scholarship The amount is tax free and it is set for twelve months at a time, paid out on a six months basis. In exceptional cases, shorter periods may be acceptable. Application process
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qualifications and merits for the position are: • Knowledge and experience on image processing or computer vision • Knowledge and experience on generative AI • Knowledge of data driven methods for modelling and