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student with a background in physical chemistry or nanofabrication. Knowledge of basic scientific programming and interest for the development of original instrumentation would be a plus, but are not
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optically challenging, highly myelinated regions of the mouse brain, such as the brainstem. Profile: The candidate should have a background in physics / experimental optics, knowledge in programming and image
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skills: o Knowledge of plasma physics, laser physics, laser-matter interaction o Proficiency in scientific programming languages (Python required, C/C++ appreciated) o Skills in data processing, physical
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experimental foundation in process engineering; additional knowledge and experience in physical chemistry, electrochemistry, analytical chemistry, and/or water chemistry will be a major asset; • Aptitude for
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. The candidate must have: - A degree in chemistry, physics or analytical sciences with good grades; - Basic knowledge of chemical kinetics; - Preference for experimental work; - Ability to work in a team; - Good
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well as knowledge in analog and/or digital electronics. We also expect that the candidate will be a team-player, able to organize his.her own planning and work, and open to critical discussions about the project
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ExperienceNone Additional Information Eligibility criteria Expected skills : • Strong background in computational fluid dynamics. • Knowledge of RANS and/or LES methodologies. • Interest in uncertainty
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remains open for the later stages of the PhD. During this PhD, the student will acquire highly valued skills in climate modeling, climate simulation analysis, and will contribute to expand the knowledge
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Skills and Qualifications Scientific Background Applicants should have knowledge in several of the following areas: • Materials physical chemistry: crystal defects, diffusion processes, irradiation effects