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degrees, competencies, and experiences are considered a merit: Master or Master of Science degree in software engineering, data science, AI, or computer science. Documented experience in professional
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Lecturer. Background Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and
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, the Faculty of Science and the regional university healthcare, within a broad range of medical topics and disease areas, as well as cutting-edge infrastructures , high-capacity computational resources
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various applications in bioprocessing technology. A better understanding of how they operate, obtained by studying them one by one, can improve various areas of biotechnology and sensor devices. Finally
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physiology, systematics, and environmental and climate science. Presently DEEP is made up of 25 research groups, 35 PhD-students and 10 postdocs. The research environment is characterized by its international
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(with possibility of extension for a third year) at the Swedish University of Agricultural Sciences (SLU) in Umeå. The postdoc will work as part of a collaborative team led by James Kirchner (ETH Zurich
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(DDLS) Fellows program. The successful candidate will join KI and conduct research at the Science for Life Laboratory (SciLifeLab) as part of a vibrant community of researchers from all the SciLifeLab
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. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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courses in engineering, computer science, biotechnology, or related field. experience with Python programming. very good oral and written proficiency in English Additional requirements: strong logical
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5 Sep 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Engineering » Control engineering Engineering » Electrical engineering Technology » Transport