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at the EMPA please check the website (https://www.epfl.ch/education/phd/edmx-materials-science-and-engineering/ ). Our offer Duration: 3 years full time Starting date: From October 2026 Deadline
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Measurement - Has knowledge of the principles of tonometry. Has knowledge of the anterior chamber, the aqueous fluid, and the drainage through the trabecular meshwork. Has an understanding of how intraocular
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to apply Website https://www.academictransfer.com/en/jobs/363306/phd-ai-based-cardiovascular-ima… Requirements Specific Requirements You are a motivated researcher with a strong technical background and a
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learning/AI for simulation and prediction of the outcome of process unit operations on food and ingredient functionality. Formulation and fluid dynamics of complex emulsions and the mechanisms governing
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UiO/Anders Lien 5th August 2026 Languages English English English PhD Research Fellow in Fluid Mechanics Apply for this job See advertisement About the position We invite applications for position
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together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd-position-in-modeling-and-c… Requirements Research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, statistical mechanics or fluid dynamics. The candidate should be able and willing to work together with PhD and undergraduate students in the group and with collaborators. Special Physical/Mental Requirements
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knowledge and expertise. Clinical Application & Practical Training 5% • Train students in precise clinical math, including constant rate infusions (CRIs), fluid therapy calculations, and species-specific
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Engineering (MIE) is Northeastern's largest department, with a faculty of more than 90 members, including 65 tenured and tenure-track faculty, whose work spans AI, biomechanics, energy systems, fluids, human
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applications for a three-year PhD Stipend from October 1st or soon hereafter in dynamic modelling, simulation and optimization of Power-to-X processes for renewable fuel production. The project is primarily