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. The project is part of the Dutch Aviation Systems Analysis Lab (DASAL), a collaboration between TU Delft and Royal NLR within the Dutch Luchtvaart in Transitie programme. You will be based in the Optical
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Willingness to combine wet-lab experimental work and computational analysis Basic knowledge of statistics and/or programming (R, Python, or similar) Strong motivation to learn new techniques across
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and Manufacturing Processes (IMD-2), we work in a dynamic and international team of over one hundred materials scientists, chemists, physicists, mechanical engineers and technical staff
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and fatigue analysis. Experience in coding (e.g., Python) and in the use of structural analysis software (e.g., Abaqus, OpenSees) is desirable. Familiarity with virtual sensing techniques, state
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cellular biology techniques, including nucleic acid manipulation, cloning, gene expression analysis, CRISPR-based approaches, protein analysis, and functional cellular assays. Extensive hands-on experience
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health sciences come together to improve people's lives. As a PhD fellow at HST, you will become part of an international research community with access to experienced supervisors, modern research
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | about 2 months ago
Temporary Job Status Part-time Hours Per Week 20 Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number FENG.02.01-IP.05-T005/23 Is
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monitoring techniques, and RF instrumentation workflows to enhance C‑UAS capabilities. Plan, commission, and operate RF infrastructure including spectrum analysis systems, software‑defined radios, direction
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We seek a research assistant for a 9-month position, primarily focused on preparing for and, if possible, progressing into a fully funded 3-year PhD fellowship as part of the Novo Nordisk Fonden
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economics and policy evaluation, including the role of education systems in responding to technological changes, demographic shifts and structural transformations. Furthermore, this PhD programme has strong