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motivated PhD student with a background in biomedical or pharmaceutical engineering, biomedical sciences or similar. You will work under the supervision of Assistant Professor Lisa Maria Riedmayr
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an MSc background in Industrial Engineering, Management Science/Operations Research, Computer Science, Mathematics, or a similar degree. Additional qualifications include: Good Experience with
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similar degree with an academic level equivalent to a two-year master's degree in the field of civil- or architectural engineering or similar fields. Experience with the following will be highly
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talented and ambitious PhD student to join our Hospital-at-Home (HaH) project. The Department of Technology, Management, and Economics at Technical University of Denmark (DTU Management) invites applications
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related project. You must have a two-year master's degree (120 ECTS points) in (Bio-)Chemical Engineering, Food Technology, Physical Chemistry, or a similar degree with an academic level equivalent to a two
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equivalent to a two-year master's degree in mathematics, physics, computer science, electrical engineering or closely related fields with a focus on computer vision, machine learning or robotics A strong
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engineering, statistics, physics, mathematics, data science, informatics or similar degree with an academic level equivalent to a master's degree. The candidate should preferably have: Dedication and the desire
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by DTU, in collaboration with KTH Royal Institute of Technology, Sweden. The project, From Detection to Action: AI-supported Decision Systems for Disaster Preparedness , bridges early risk detection
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months in the 36 months prior to their recruitment date. You must have: A Master’s degree (or equivalent) in Bioinformatics, Biochemistry, Biotechnology, Chemical Engineering, or a closely related field
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and predict cyber threats. You will work closely with international collaborators, including Eindhoven University of Technology (TU/e), and with industrial partners, providing realistic case studies