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offering a postdoctoral position in multi-messenger astrophysics related to the KM3NeT, SVOM, and COLIBRI detectors. The main objective is to complete the development and optimization of the KM3NeT neutrino
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printing creates objects or structures with shape- and/or property-changing capabilities over time. Since its inception in 2013 at the Massachusetts Institute of Technology and the University of Colorado
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et de la Déportation – Camp de Royallieu (Compiègne, France), in collaboration with the company Excurio. Candidate Profile Required Technical Skills • Proficiency in Unity 3D development • Object
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. - Have skills in image analysis (segmentation, cell tracking, spatio-temporal quantification) and quantitative analysis of biological data. - Familiarity with classical approaches in protein biochemistry
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to the types of risks at stake, as well as to the social and cultural contexts of each territory. To achieve these objectives, the research will draw on techniques such as participatory mapping, citizen surveys
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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, exciting research in an international
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. - Evaluate the impact of quagga mussels on the benthic macroinvertebrate community. To achieve these objectives, the candidate will: - Contribute to the monitoring of mussel distribution carried out within
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of ~1.6 million objects both with median precisions of ~0.25 mas. There are several conflicts in searching for the best reference sources, stable and with a short optical-radio link. First, quasar centroids
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elongation. (i) The PhD student will use a fluorescent labelling system in place in the laboratory to track the consequences of DciA depletion on replication at the single-cell level using microscopy for data
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an active participant in the Agile way of working by contributing to process improvement, planning and tracking the team's work, reviews and progress demonstrations, and coordination with other teams