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DTU Physics seeks a talented and motivated tenure track researcher to lead the department’s experimental efforts within the discovery of advanced optical materials. The goal is to identify, develop
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DTU Tenure Track Researcher in Low-Noise Supercontinuum Lasers and Supercontinuum Laser based Opt...
of Professional Associations. The allowance will be agreed upon with the relevant union. Starting date is 1 July 2026. Location: DTU Electro, Campus Lyngby. The position is part of DTU’s Tenure Track program. Read
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proficiency in analytical and biophysical methods, including HPLC, GC–FID/MS, spectroscopy (CD, fluorescence, nanoDSF), and interfacial tools (confocal microscopy). Have a track record of international
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
between process parameters and material properties will be developed and subsequently exposed to Bayesian optimization to find the optimal set of parameters that improve process performance and material
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period. The research of the candidates must be aligned with IRBLleida’s scientific programs and strategic objectives. Ideally, their expertise and field of research should generate new synergies with
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Institute for Molecular Imaging. The primary objective of the group’s research is to examine the function of immune cells in response to inflammatory processes in living organisms by employing innovative
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moves beyond static descriptions to reveal how external fields reprogram force–distance laws and binding kinetics in real time. Research tracks Track 1 — Electro-stimulation in weak electrolytes: Apply AC
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intercultural team environment WE OFFER: A 36-month project as Marie Skłodowska Curie trainee in one of the participating institutions with the objective of receiving a doctoral degree (PhD) State-of-the-art
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. You have a strong academic track record and hold or are about to obtain an MSc or equivalent degree in a field related to our research. We value diversity and welcome applications from students of all
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ICT Services & Applications. Your role Large vision-language models (LVLMs) can describe driving scenes and support decisions [Li25], but they sometimes hallucinate objects, relations, or events