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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Dean of Faculty of Mechanical Engineering VSB – Technical University of Ostrava
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microenvironment to weaken resistance mechanisms and enhance the efficacy of existing treatments. By manipulating stress responses in fungi such as Saccharomyces cerevisiae and Aspergillus nidulans, the project aims
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling
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Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code:8090F select ‘PhD Mechanical Engineering (full time) – 8090F' as the
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motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical engineering, physics and applied mathematics. You should have experience in one or more
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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into industrial-grade, sustainable inks. PhD Position three: Computational Modeling of Ink Performance Model the Mechanics of Tomorrow’s Inks This PhD focuses on developing multi-scale mechanical models to predict
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Application Deadline 31 Jul 2026 - 00:00 (Africa/Abidjan) Type of Contract Not Applicable Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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. Starting in April 2026. Later start dates may be possible, please contact Dr Donya Hajializadeh once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme. We
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University