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potential in preclinical experimental models. Requirements: Applicants must have obtained their PhD within the last five years and have experience in the study of non-conventional lymphocyte populations, as
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The Institut de Physique Theorique (IPhT) invites applications for a junior-level permanent position in physics. The position is opened for researchers working on phenomenology of the standard models of the two
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tax monthly), with 75% of public transportation costs covered by the employer and 44 days of paid leave per year. Within the framework of the PEPR B-BEST program (https://www.pepr-bioproductions.fr
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demonstrated that this transition involves mechanochemical dynamics in gastruloids, in vitro models derived from embryonic stem cells (Hashmi et al., eLife 2022; Gsell & Tlili et al., Nature Physics 2025
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and Intelligence (PLI), an initiative of the Princeton Laboratory for Artificial Intelligence. PLI pursues research on the study, design, and evaluation of large AI models (especially language models
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understanding the molecular basis of host-pathogen interaction using the intracellular protozoan parasite Toxoplasma gondii as a model organism. Learn more at: https://yifan-wang.lab.medicine.umich.edu/home
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laboratory processing of root data Assist in ongoing field sampling campaigns Conduct basic data analysis Collaborate with PhD researchers from the modelling and experimental teams to link data and model
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description he project aims to develop a data-driven model to
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continuous-fibre-reinforced polymers (composites) under monotonic and cyclic loading, in particular using acoustic emission and thermography. Derivation of service life models for composites. Involvement in
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). The proposal lies at the intersection of digital twins, AI techniques, and predictive model development, proposing an integrated and scalable ecosystem capable of enabling new energy management