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administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr
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available for both UK and international students within the Quantum Device Modelling Group (http://warwick.ac.uk/nanolab ) at the University of Warwick. At the intersection of quantum physics and materials
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experimentation and training. Science of Deep Learning: Exploring mechanistic interpretability and understanding the fundamental drivers of model performance at scale. As an early member of this fast-growing team
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
their degree of disability, the type of disability and the means of communication/expression to be used in the selection process, under the terms of the aforementioned decree. Where to apply Website http
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unique experimental platform developed in the Bakshi Lab (https://www.bakshilab.net/ ) that enables time-resolved measurements of individual bacterial cells throughout the phage infection process. The post
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15 Jul 2026 Job Information Organisation/Company RPTU Research Field Environmental science » Earth science Physics » Applied physics Engineering » Water resources engineering Researcher Profile
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Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field. Demonstrated experience developing AI and machine learning models for biomedical applications. Job
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3 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire Procédés, Matériaux et Energie Solaire Research Field Engineering Chemistry Physics Researcher Profile First Stage
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advancements achieved with the LHC is the discovery of the Higgs boson by the ATLAS and CMS collaborations in 2012, providing crucial experimental verification of the Standard Model (SM) of particle physics
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beam (FIB) imaging - can be combined with AI to reconstruct nanoscale chip structures and infer functional behaviour from physical layouts. The project addresses the challenge of extracting reliable