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doctoral degree in physics, astrophysics or astroparticle physics - experience in astroparticle or particle physics in the areas of data analysis and interpretation, detector studies based on real data
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excellent environment for an upcoming academic. The School’s research portfolio is wide-ranging, and covers three principal themes: Quantum Matter; Particle and Nuclear Physics; and Astronomy and Experimental
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
simulations and model review Run medium-scale PIC-QED simulations for selected parameter sets; collect diagnostics (particle growth, spectra, density, absorption). Systematically review and compare existing
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-fellow-for-year-2027/ Additional comments List of potential mentors for IPSAS fellow:* - Djeylan Aktas – quantum optics and quantum communication technologies - Erik Bartoš – particle physics and
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of highly heterogeneous particle systems. Basic Qualifications Candidates must have a Doctorate degree in Chemistry, Materials Science, Chemical Engineering, or Applied Physics by the time the appointment
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that provide health benefits; and creating value-added food and nonfood products from low value agricultural resources. Scientists at FFR develop new processing, chemical, physical, and enzymatic technologies
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from candidates with diverse training paths and experiences in experimental astroparticle physics or closely related fields. Required Qualifications: ● Ph.D. in experimental particle physics
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medical isotopes, body composition, detector development, health physics, dosimetry, neutron metrology, nuclear engineering, neutron radiography, neutron activation, bone and joint research. The research
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Job Description Position Details School of Chemistry, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally
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validation) of the fluid mechanics of a sample probe washing process in an immunoassay analyser system. The analysis methods will include computational multiphase fluid dynamics modelling, in laminar and