299 computer-science-intern "https:" "https:" "https:" "https:" "DESY" Fellowship positions in Australia
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cover letter which outlines your: Eligibility for the program Demonstrated interest and experience in analytical chemistry, particularly GC-MS analysis of trace analytes and field sampling techniques
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initiative developing the next generation of smart wind turbine blades. You will play a key role and have skillset in one or more areas of electrical engineering, including power electronics, inverter control
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national and international projects. About the opportunity Lead project field data science related to quantifying water security and biodiversity. Deliver outreach and adoption that translate research onto
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or more years Summary The Banting Postdoctoral Fellowships program is Canada's most prestigious postdoctoral award, and builds world-class research capacity in the areas of health sciences, natural sciences
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 2 years Base salary will be in the range $83,698.91 - $111,431.10 + 17% Superannuation (Academic
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Future Fund–supported program (2026–2030) to strengthen evidence on addiction, self-harm and mental ill health. The multidisciplinary study will analyse 20 years of binational cohort and cross-sectional
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Queensland Alliance for Environmental Health Sciences Two (2) full-time, fixed-term, research focused positions Base salary will range from $83,698 – $111,431 (Academic Level A) + 17
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of two referees), a statement of research interests and achievements. Essential A PhD or equivalent degree in plasma physics/high energy density science/computational science. Experience in
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technologies research in AIBN and at UQ. You will have research expertise in the use of computational chemistry and software development, with the capacity to apply these methods to research questions related
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alloys produced using additive manufacturing technologies. You will work close with Dr Qiyang Tan and Prof Mingxing Zhang and contribute to alloy development using computational materials science, applying