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. Candidate Profile Applicants should hold a Master's degree in Materials Science and/or Computational Methods in Mechanical Engineering (or a closely related field). The successful candidate should have: a
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backgrounds such as AI, computer vision, computer graphics, machine learning, robotics, wearable technologies, textile engineering, fashion technology, digital fashion, or related areas are encouraged to apply
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part of the RA Program, you must have received your PhD in Analytical Chemistry, Biomedical Engineering, Chemical Engineering, or related fields within the last five years or you expect to receive
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requirements MSc and BSc in Biomaterials, Biomedical Engineering, Biotechnology, Bioinformatics, Biology, Computer Science, Medical Technology, or a closely related field. Relevant experience with biomedical
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within a Research Infrastructure? No Offer Description Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions
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18 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Electrical engineering Engineering » Mechanical engineering Physics » Applied
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23 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Control engineering Engineering » Mechanical engineering Researcher Profile
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at the forefront of our accelerated material discovery/process optimization platforms at the NRC Research Facility in Mississauga. The selected candidate would be someone who shares our core values of Integrity
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Max Planck Institute of Colloids and Interfaces | Potsdam, Brandenburg | Germany | about 2 months ago
lively and open interdisciplinary environment spanning physics, chemistry, materials science, and biology. Our offering Work in modern laboratories, benefit from excellent supervision, and contribute
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laboratory experience, such as: DNA/RNA extraction, PCR, cloning, virus production, ELISA, etc. Computational biology laboratory experience, such as: bulk- singl cell- or spatial-transcriptomic data analysis