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, single-molecule techniques, and optical imaging is welcomed. We foster diversity and female candidates are particularly invited to apply, since the gender balance recently declined with the departure
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Section, Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). We look for a talented, self-driven, and collaborative individual with a passion for tackling complex
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academic and industrial cooperation partners Requirements: excellent university degree (M.Sc., Diploma) in either computer engineering, computer science, electrical engineering or any related natural science
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passionate about working in a team. You will lead the publication of results in high-impact scientific journals. You have a strong background in physics, geophysics, materials science, computation, engineering
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an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement
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partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a
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, geophysics, materials science, computation, engineering, or a related discipline. Hands-on research experience in one or more of the following areas will be considered an advantage: Confocal microscopy and
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instruments (e.g. Thermo Orbitrap technology). Experience in using (AP-)MALDI technique for analysis and imaging. Experience in LC/MS for targeted or untargeted studies is an asset Ability to execute research
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23 Aug 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Informatics Computer science » Programming Engineering » Biomedical engineering
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23 Aug 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Biological sciences » Biology Engineering » Biomaterial engineering Engineering » Biomedical