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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
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Published Monday 14 Jul 2025 Deadline Thursday 31 Jul 2025 Work area PhD Organisational unit Erasmus School of Economics (ESE) Salary € 2.901 - € 3..707 Employment 1 fte - 1 fte Introduction
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, Industrial Engineering, Computer Science, or Machine Learning. Solid experience with quantitative optimization methods, including (but not limited to) mathematical programming and stochastic dynamic
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Precambrian rocks of northern Norway. The project is within the Solid Earth Sciences, Mineral Resources and Geohazards group. The position is for a period of four years. The nominal length of the PhD programme
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novo mutations Type of genetic variation that can be buffered Molecular mechanisms underlying mutational robustness Skills Essential The candidate holds a Master degree in bioengineering science, (bio
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-derived amines for Maillard reaction in Brassica foods – GluAmin’, which is funded by German Research Foundation: PhD student (f,m,div) in the field of food chemistry Reference number: 14/2025/3 The salary
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EPSRC iCASE PhD studentship with SLB - Computational modelling of advanced geothermal systems School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students
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a student with a background in Mathematics, Computer Science, or a related STEM discipline who is passionate about computer graphics and gaming. A prior interest or experience in ML/AI rendering
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Planning, Henley Business School Supervisors: Dr Emma Street and Prof Gavin Parker Project Overview: Using a governance lens and participatory methods, this project involves local stakeholders and
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to achieve energy and environmental sustainability for Australia. Student type Future Students Faculties and centres Faculty of Science & Engineering Western Australian School of Mines (WASM) Course type