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Field
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scientists and companies working in liposome technology, cell-free protein production, sensor development, clinical nephrology, and medical decision-making. Where to apply Website https
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description Deadline for applications: 31/01/2026 Application process open
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brain health. This project combines MRI and EEG/MEG studies with behavioral, genetic, and clinical measures to yield a more complete picture of how processing speed is related to health outcomes
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learning and artificial intelligence Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under
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characteristics and the occurrence or severity of accidents, through mathematical modelling. • Knowledge of image processing, in particular its application in advanced driver assistance systems (ADAS) and its
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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22 Jan 2026 Job Information Organisation/Company Luxembourg Institute of Science and Technology Research Field Environmental science Researcher Profile First Stage Researcher (R1) Positions Postdoc
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methods. Experience with FIB-SEM imaging and/or data processing, or enthusiasm for acquiring these skills. Experience with the MERRILL micromagnetic modelling framework, or closely related modelling
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directions, as well as close mentorship tailored to career goals. Additionally, this position offers access to state-of-the-art facilities and core resources (e.g., imaging, flow cytometry, proteomics), and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
that packages defined RNA cargos and delivers them to specific cell types. STVs consist of a synthetic protein that is assembled from natural and AI-designed protein domains, along with an engineered fusogenic