174 data-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData"-"BioData" positions in Sweden
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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in
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Description of the workplace The Division of Secure and Networked Systems at the Department of Electrical and Information Technology conducts broad research in cryptography, computer security
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for organisations and individuals. For more information about our department and research groups, visit the Department of Computer Science and Informatics (switch to the Swedish version for all bachelor programmes
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be employed, including e.g. deep phenotyping via flow cytometry, high-plex analysis of soluble factors, spatial characterization of tissue sections using immunofluorescence, and related data analysis
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biology, analytical chemistry, evolution, and data science. The workplace offers access to state-of-the-art core facilities for advanced microscopy and cytometry, cell and molecular biology, extracellular
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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workplace meetings and staff days. More information about PhD studies is found here . Qualifications General requirements To be admitted to studies at the third-cycle level, i.e. doctoral education, the
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teaching skills and for personal development. For more information about our PhD program, please visit our information page. We offer fully financed positions to our doctoral students who receive competitive
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collection of information on water governance processes and water management plans; building a database based on collected data; data collection work at Swedish authorities, regions and municipalities might be
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/other relevant publications Other merits of relevance for the position Contact information to two reference persons Attached documents must be in Word or PDF format. Please note that incomplete