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project in collaboration with AstraZeneca Chalmers University of Technology, funded through the Wallenberg National Program for Data-Driven Life Science (DDLS). Chalmers University of Technology conducts
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KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Project description Third-cycle subject: Computer Science The project focuses on advancing species
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KTH Royal Institute of Technology, School of Engineering Sciences Project description Third-cycle subject: Biological Physics We are looking for a doctoral student to a multidisciplinary and
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strong merit. We are seeking a post-doc candidate who is passionate about answering biological questions related to cancer immunology using cutting edge technology in close collaboration with experimental
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KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Project description Third-cycle subject: Computer Science This project involves generative modeling
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Umeå University, Faculty of Science and Technology Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers
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of data-driven precision tools, seeking to improve on current paradigms for clinical risk predictions and individualized diagnostic paradigms. Improving atherosclerotic risk prediction has been a primary
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School of Electrical Engineering and Computer Science at KTH Job description We are looking for a recent graduate with a keen interest in implementation and adoption of image analysis algorithms
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have access to outstanding state-of-the art facilities. The current project concerns quadruplex structures in yeast genome, Schizosaccharomyces pombe, to understand their regulatory roles in health and
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of Technology (MIT), and Chalmers Institute of Technology. Your mission You will design and analyze a high-throughput stimulus-response experiment in cancer and stroma cells that will be conducted at our core