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, and power electronics. The team develops a wide range of materials (III-nitrides, arsenides, selenides, tellurides, oxides) and benefits from advanced growth systems, extensive electrical and optical
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, electronic properties, and spectroscopic response. A major component of the project will focus on coupling DFT calculations with machine learning models to accelerate spectral prediction, identify robust
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20 Feb 2026 Job Information Organisation/Company Université de Pau et des Pays de l'Adour Department SIAME Research Field Engineering » Computer engineering Physics » Computational physics
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the communication on the master programme in architecture Tutoring and evaluating master and PHD students Administrative tasks Your profile Master and Ph.D. degree in architecture or urbanism, or in
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also interdisciplinary knowledge on the subject. More precisely: PhD degree in computer science, machine learning, computational biology, or a closely related field Strong research track record
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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for embedded and GPU platforms. Collaborate with ARSPECTRA engineers and surgeons to create a complete AR guidance pipeline : tracking, SLAM, gaze, user interface Your profile PhD in machine learning
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exploit the unique capabilities of the ID32 beamline. ID32 is a soft X-ray (400-1600eV) beamline with a scientific focus in the areas of electronic structure and magnetism. The beamline has two branches
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validation. The postdoctoral researcher will work within the Metasurface Team at CRHEA, in close interaction with permanent researchers, postdoctoral fellows, PhD students, engineers, and external
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presentations and publications, - Ability to work respecting rules and procedures, - Ability to supervise students (Master interns, PhDs). Additional comments Submission of a cover letter and a CV without any