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binding data. Examples of suitable backgrounds: Optical engineering, hardware-software integration, image analysis. Building quantitative models: Using high-throughput binding data to build sequence
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computational, theoretical and/or observational projects, to develop and deploy cutting-edge machine-learning and AI methods for astrophysics and cosmology, enabling precision tests of fundamental physics with
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longitudinal aging study, the Betula Project, as well as the UK Biobank. The candidate will handle, process, and statistically analyze large amounts of data on blood markers, cognitive tests, and health and
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and will include major investments at Sweden's leading universities over the course of 10 years. The vision is a sustainable future through materials science. Read more: WISE All early-stage researchers
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likely be relevant with interviews, reference taking and work tests in English. The application should include the following: A letter of application, in which applicants should motivate why
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for the position at Stockholm University's recruitment system. Attach a personal letter and CV as well as the attachments requested in the application form. It is the responsibility of the applicant to ensure
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, susanne.kratzer@su.se . Application Apply for the position at Stockholm University's recruitment system. Attach a personal letter and CV as well as the attachments requested in the application form. It is the
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well as the attachments requested in the application form. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is
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form. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline
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responsible for several student courses and offers high-quality education at both undergraduate and advanced levels. Approximately 35 people work within the department. You will be part of a research group in