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Field
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the PhD period Open and inclusive working environment with committed colleagues Working capital that can be used to implement the project Mentor programme as a new employee at NTNU Favorable terms as a
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society Developing tasks in a strong and international professional environment Career guidance and follow-up during the PhD period Open and inclusive working environment with committed colleagues
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Application deadline: 31/08/2026 Research theme: Mettalurgy How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD studentship is open to Home (UK) students. The successful
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quantify the impact of nonlinearity on flow and transportin confined porous media. We put particular emphasis on three sources of nonlinearity: non-Newtonian rheology, large driving rates leading to dynamic
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to identify patient characteristics that are relevant for therapy, (c) computational optimisation of current CPR protocols. For more details of our work, please see: http://www2.warwick.ac.uk/fac/sci/eng/staff
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, enabling the isolation of centrifugal instabilities. These techniques will rely on biased emissive cathodes to control the plasma potential profile and drive strong azimuthal flows, as demonstrated in a
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
for scientific staff: www.inside.dtu.dk/en/human-resources/during-employment/salary/salary-structures . The period of employment is 3 years. Starting date is 1 February 2027 or according to mutual agreement
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. Research project. The Netherlands faces major challenges in the field of sustainability. The current intensive use of natural resources leads to irreversible environmental damage, resource depletion, and
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 30 days ago
Arctic Biodiversity (f/x/d/m) Background Long-term monitoring of marine and Arctic ecosystems generates large volumes of biological and environmental data, but current analysis methods only partly capture
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developing simulation flows, analysis methodologies, and predictive models that enable Design-Technology and System-Technology Co-Optimization (DTCO/STCO) studies for future systems. You will work closely with