207 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions in Sweden
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with us, you receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the
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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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anaerobic culturing techniques (e.g. anaerobic chamber, bioreactor) and analysis of 16S sequencing data. Furthermore, practical experience in working with mouse models is required. Other requirements
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microscope. Other Information The employment is permanent, with a preliminary start date of 1 June 2026 or as agreed. Full-time position (100%). How to apply You apply for the position via the University’s
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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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; Study at LTH . Subject and project description The aim of this project is to develop novel methods for controlling hearing assistive devices using electroencephalography (EEG) data, and behavioural
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research group is located in Malmö. More information about the group can be found here. The group is led by Associate Professor Malin Wennström. Within the group, we care about creating a positive
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harness data collected during the entire lifecycle. In large-scale cloud-edge services, DevOps include many tools working together (e.g., build servers, code review, program analysis) to feed back
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interpersonal skills, and willingness to work in a fast-paced team environment required Excellent collaboration, and strategic skills Strong oral and written communication, data documentation, and presentation
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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