26 phd-data-mining Postdoctoral positions at University of Southern Denmark in Denmark
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research project outlined above. You have: A PhD in life science, e.g., molecular biology or biochemistry. Expertise in CRISPR-Cas9 based gene editing. Experience with culturing green microalgae. Experience
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for collaboration across sections, departments and faculties, and with other educational institutions, municipalities, and industries. The degrees offered by the department include BSc, MSc, and PhD degrees in
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, bioinformatics, aging biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and
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, contribution in book chapters or intellectual properties Requirements for the position Employment as a postdoctoral fellow for this position requires a PhD-degree or equivalent within in chemistry / chemical
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transcriptomics data is an advantage. We offer: A 3-year postdoc position in a supportive, stimulating, and interdisciplinary research environment Training in a wide range of scientific and transferable skills
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time to visit Work in Denmark where you will find information and facts about moving to, working and living in Denmark, as well as the International Staff Office at SDU . Contact information For more
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Office Contact Information For further details about the position, please contact Dr. Sanjeeb Kumar Sahu at sksahu@health.sdu.dk Application deadline November 30, 2025, at 23:59 hrs. CET Salary
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degree (PhD) in electronics, robotics, mechatronics, electrical engineering, embedded electronics, or a related subject area. The applicant is expected to have relevant research and teaching experiences
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research experience at PhD level in a relevant area such as robotics and control preferably applied to robots with flexible links. The candidate is hence expected to have most of the following qualifications
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for applicants who have obtained their PhD within the past 4 years, have a good publication record, and have proven their expertise on computational electrodynamics and the theory of light–matter interactions