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oral and written proficiency in English. Strong programming ability and hands-on experience with modern cloud-native technologies. Familiarity with container orchestration (e.g., Kubernetes) and
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cells and proteins. Our research is in close collaboration with academy, health care and industry both nationally and internationally. Duties Within this project you will plan, design and perform research
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from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven life science. The successful candidate will be working within the development
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familiarity with associated technologies. Demonstrated programming proficiency in languages such as Java and Python, along with experience in various development environments. Knowledge of participating in
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model design and analysis as well as statistical model parametrization and validation techniques. This Postdoc position is part of a five-year research program funded by the Wallenberg Foundation, aimed
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, characterized by world-leading research and many internationally highly-ranked educational programs, is looking for a postdoctoral researcher to work on a compiler for linear algebra expressions. The Department
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courses and educational programs in forestry and wood technology at both undergraduate and advanced levels. Subject area for the position: Postdoc fellowship in forest products Location until further notice
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. Demonstrated skills in Python programming, or other computer programming. Strong interest in data science, such as data collection and curation, modelling. Excellent written and oral English communication skills
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determination, while effectively managing challenges as they arise. We highly value a structured approach to work, where you plan and execute your tasks in a methodical and well-organized manner. The role also
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decision-making in clinical settings. Project description In this project, we plan to combine AI-driven telemonitoring with specialized home care to improve management of heart failure patients. Using AI, we