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quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40% of all employees are internationals. In total, it has
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international journals and conferences. Experience working in multidisciplinary and international research environments. Excellent analytical, communication, and scientific writing skills. Ability to work
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strong analytical, problem-solving, and data interpretation skills • Excellent written and verbal communication skills Join us in advancing next-generation skin-targeted biomedical technologies
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interdisciplinary research programme that will require expertise in stem cell culture, human tissue, bioengineering, computational analytical methods and islet transplantation. Applicants should have a recent Ph.D
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, analyze, and interpret research data Write and contribute to research papers, articles, and publications Mentor and supervise student researchers and graduate students Prepare presentations for groups
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for the sustainable planning of wind power in forest landscapes. For more information, see: www.slu.se/forskning/forskningskatalog/projekt/w/windyforests/ Your profile You must hold a PhD in forestry, ecology
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researcher with a strong quantitative profile, excellent analytical skills, and a clear interest in publishing high-quality empirical research. The successful candidate will primarily work on a randomized
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. This opportunity will prepare candidates for a range of competitive positions in academia or industry that involve computational biology/chemistry, machine-learning for biological or chemical data, metabolism, and
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
/or learning analytics for teacher learning and pedagogical innovation. Familiarity with theory and pedagogical implementation of digital literacy and AI literacy in the curriculum, and leadership
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practice or other forms of appointment/assignment relevant to the subject area. Candidates should have experience in some of the following areas: data analytics, computational modeling, programming