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Field
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knowledge of physics/optics (a PhD in these fields is required). Expertise in photonics is a plus. Specific Requirements Knowledge on optical fibers, a taste for precision experimentation, knowledge
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Postdoc (f/m/d) at Rossendorf Beamline at the ESRF / Completed PhD in Physics, Chemistry, Materia...
Helmholtz Association of German Research Centres | Tremblay en France, le de France | France | about 2 months ago# Responsible for coordinating and implementing technical advances on the beamline Your profile # Completed PhD in Physics, Chemistry, Materials Science, Engineering, or a related field # Substantial experience
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FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications The candidate, holding a PhD, should demonstrate knowledge of ceramic shaping via colloidal processing, in multidisciplinary areas (suspension
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Tremblay en France, le de France | France | about 2 months ago
profile # Completed PhD in Physics, Chemistry, Materials Science, Engineering, or a related field # Substantial experience with synchrotron-based experiments (proven by relevant publications as a first
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geology and geology of sedimentary basin with, in particular, numerical modeling of geological processes (i.e, PhD in Earth Sciences or equivalent). Additional comments The candidate must include a single
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of generative watermarking methods, (i.e. to see to which extend the secret key of the watermarking scheme can be estimated). - Help surpervising a PhD student - Security analysis of JPEG steganography - Security
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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