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Field
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-modal prediction models for breast cancer, using both medical images (X-ray, pathology) and clinical and tumor genomic data. The project AID4BC (AI-based Precision Diagnostics and Decision Support for
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to contribute to the development of high-performance rare-earth-doped lasers and amplifiers on-chip for applications in optical metrology, sensing, data communication, and quantum technologies? If you are
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it effect engagement and learning. For more information about the Akelius Math Learning Lab, see: https://www.chalmers.se/institutioner/mv/akelius-math-learning-lab/ Who we are looking
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. Analyze MS data. Collaborate tightly with other consortium members. Contribute to writing peer-reviewed papers, and grant applications, if opportunity arises. Supervise MSc students if opportunity arises
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ovarian cancer and accompanying biomarkers for guiding personalized therapy. Work duties The main duty is to conduct research within the subject area, including experimental work, data analysis
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of autonomous systems, including coordinated mission planning. The position also includes tasks such as planning and implementation of experiments, construction of experimental setups, data analysis, and
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tissue samples using a method called DNA-microscopy. This technique aims to allow the reconstruction of the relative spatial positions of biomolecules using exclusively DNA-sequencing information based
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communication skills in English Experience in working with polymer melt processing and rheology Experience in using and analysing data from laboratory equipment such as, rheometers, tensile testers and other
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perspectives are best attained and reached together in collaboration with others – our colleagues, students, the private and public sectors, both nationally and internationally. Employment information Employment
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cutting-edge, high-density data-driven research that impacts academia, industry, and policy worldwide. About the Programme Fellowship: each participant will benefit from a 36-month postdoctoral training