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projects of other members of the group. - Clear and tidy annotation of the protocols, designs, data and analysis in the ELN indicated by the PI. - Clearly label all material and include it regularly in
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molecular labeling through our studies in the synthesis and study of bioactive nitrogen-containing molecules. A PhD in Chemistry or a related field is required. Interested applicants should describe
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proximity labeling, mass spectrometry and proteomics and experience with cell culture and flow cytometry, preferably working with immune cells. Having your own project, you will team-up with dedicated
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(based on biomaterials and living cells), including their efficient deployment on embedded hardware, as well as the design and management of the supporting data pipeline. You will be part of
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. Knowledge of systems programming skills and concepts Experience with fundamental OS and storage concepts. Experience with programming heterogenous architecture. Preferred Qualifications: Experience with CUDA
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, continuing the work carried out by the team on the synthesis of labeled organic molecules (arenes, alkanes, ethers).[1-6] 1. Lassalle, S.; Jabbour, R.; Schiltz, P.; Berruyer, P.; Todorova, T. K.; Veyre, L
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techniques (e.g., NMR, X-ray crystallography, cryo-EM) Conduct biochemical assays to study RNA–protein and RNA–small molecule interactions Perform in vitro transcription, RNA purification, labeling, and
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approaches are gaining importance for autonomous vehicles. However, the training and certification of autonomous systems with machine learning components is a huge challenge, since the learned behavior is
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labeling requirements Prepare detailed technical documentation and reports, ensuring reproducibility and regulatory compliance Identify challenges in formulation processes and propose creative, science-based
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Research (NWO), at the Laboratory of Phytopathology of Wageningen University. In this project you will use the advanced TurboID-based, proximity-dependent labelling technique to identify novel resistance