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Field
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) Condensed matter theory, 6) Quantum physics, quantum information and interaction between light and matter, 7) Plasma, accelerator physics, kinetic turbulence, 8) New areas of theoretical physics or related
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techniques including inductively coupled plasma mass spectrometry (ICP-MS), inductively coupled plasma optical emissions spectroscopy (ICP-OES), graphite furnace atomic absorption spectrometry (GFAAS), x-ray
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passive devices based on other technologies (Si, Ge, chalcogenides, ..). The postdoc staff will join the “Integration” team of the group. He/she will be in charge of developing the remote-plasma chemical
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related to exoplanets and AI, interstellar medium/star formation, gravitational dynamics, plasma astrophysics, and theoretical astrophysics. Applicants may work with the Department's distinguished faculty
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The candidate will: • Hold a PhD in analytical chemistry or biochemistry with a strong expertise in mass spectrometry • Have broad experience in biological sample preparation techniques (serum, plasma, urine
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appointed for a duration of two years and will work under the supervision of Associate Professor Diogo Arsénio on subjects including: Magnetohydrodynamics and the mathematical theory of plasmas. Collisional
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projects in a broad area of quantitative proteomics, including plasma proteomics, glycoproteomics and PTM analysis. You will work in a collaborative environment within the BioMS group, liaising with the PIs
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, ion beams, or related fields) Strong skills in experimental instrumentation Experience in laser optics and/or plasma physics or charged particle beams is an asset Autonomy, scientific rigor, and ability
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position within a Research Infrastructure? No Offer Description The High Energy and Plasma Astrophysics group (GAPAE) at the University of São Paulo's Institute for Astronomy, Geophysics and Atmospheric
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collection for plasma biomarker analysis, and functional and structural magnetic resonance imaging. The Fellow will play a key role in neuroimaging data collection, preprocessing, and advanced data analysis