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Field
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(including interactomics approaches), and live cell microscopy to study mitochondrial physiology. The IGDR is a dynamic institute, with 16 teams including more than 200 international researchers and staff
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physiological and pathological loading protocols. Conduct ex vivo tests on murine tissues and analyze micro- and nanoscale cell/tissue deformation. Collaborate with IRMB to correlate ex vivo data with in vivo
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://www.ipht.fr/en/cosmology-astrophysics-high-energy-physics-and-hadronic-matter/ Applicants should hold, or expect to complete before the appointment begins, a PhD in theoretical physics or a closely related
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web and linking source populations to the underlying halo and galaxy distribution; developing SBI pipelines for Fermi-LAT data, first standalone and then jointly with LSS. Qualifications. A PhD in
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used by a PhD student, likely starting October 2027, to initiate development of a deep-learning architecture. The refined batch of synthetic data will be used by the PhD student to finalise the deep
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cleanroom processes • Overseeing nanofabrication activities within the projects • Training and mentoring PhD students in fabrication techniques and experimental measurements Institut NÉEL is a CNRS unit (UPR
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responsibility. Secondary Activities 1) Contribute to the training of team members (PhD students, interns). 2) Participate in scientific outreach activities. 3) Conduct a scientific watch on advances in fluvial
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environment composed of researchers, clinicians, and PhD students working on psychotrauma through neuropsychology, textometry, and neuroimaging. This position provides an opportunity to work in a high-caliber
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of Research Experience1 - 4 Research FieldChemistry » Computational chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria Candidates should hold a recent PhD in theoretical
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at the interface of cognitive neuroscience, neurophysiology and data science. Profile: PhD in neuroscience, psychology, cognitive science, statistics, data science or a related field, with strong