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12 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2
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empirical taxonomy developed by the PhD candidate. Model training and fine-tuning. Fine-tune large language models on annotated educational datasets collected during the project, ensuring the agent's
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collide, condense and evaporate. Guided by the results from the field campaigns, a new Microphysics Informed Large-Eddy-Simulation (MiLES) model will be developed. The tested and verified MiLES will be
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 1 month ago
and maintaining accurate records Training of team members and establishing experimental protocols Contributing to collaborative discussions and the overall functioning of the group Candidate profile PhD
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, physics, applied mathematics, engineering, computer science or related discipline. Strong skills in fluid mechanics and numerical modelling. Experience with large observational data sets of environmental
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established and emerging bioinformatics, statistical modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics
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Contrails are aviation sector’s invisible climate threats with large uncertainties. You’ll investigate contrail formation pathways for various particles through lab experiments. Job description
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to maximize project impact Responsible for FAIR data management and data sharing according to Open Science requirements Research & Technical Skills PhD in biotechnology, biomedical sciences, bioscience
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personality: You hold a PhD in synthetic organic chemistry. Previous experience working with organic synthesis, total synthesis, electrosynthesis and catalysis is required. Proficiency in data analysis and
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of real-world evidence using large real-world data sources, including data from the ongoing prospective cohort study (DREAM cohort). The successful candidate will have expertise in epidemiologic research