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Field
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to support career development and encourage innovative thinking to tackle major challenges in Immunology. About the role We are seeking a highly motivated Postdoctoral Research Associate in Immunology to join
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, including the development of a unique training approach for HL-LHC and SKAO staff focusing on the use of large scale cyber-infrastructures, supported by SLICES-RI, as well as enhanced interactions with
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the Electrode/Electrolyte Interfaces via Operando Piezoelectric SENSing) project, which aims to develop a new-generation analytical tool for studying electrode-electrolyte interfaces in rechargeable batteries
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proteins, we will employ a genetic code expansion strategy, developed in the group, to incorporate small reactive non-canonical amino acids. This allows us to attach fluorescent probes at the desired
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University of Savoie Mont Blanc (USMB) that brings together expertise in machine learning and information fusion, as well as networks and systems. It develops methods for processing and managing data in
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researchers to select study sites, obtain sampling authorizations, carry out fieldwork (sample collection, dendrometric measurements), prepare and measure the samples in the laboratory, carry out statistical
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researcher will contribute to the development of innovative end-of-pipe solutions aimed at intercepting and reducing microplastic emissions during storm events. -- Monitor several rainfall events at selected
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description New therapies that promote anti-tumor immunity have been developed over
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to mathematically justify certain physical observations. More specifically, we will focus on two questions: The influence of a concentrated vortex on the evolution of a water-wave The influence of stratification in
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modelling. MISSION You will actively contribute to the development and evaluation of new hybrid computational method to predict biological tissue deformation with subject-specific material properties