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Field
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) at the master’s level (at least a 2.1 honours) in a relevant science, mathematics, or engineering discipline are especially encouraged to apply. Additional requirements: Demonstrated determination and resilience
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% average), or international equivalent, in Engineering, Computer Science, Physics or Mathematics with evidence of programming experience. Equality, diversity and inclusion is fundamental to the success
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Oceanography, Meteorology, Physics, Mathematics or a related field is required. We also expect very good English language skills, good programming skills and the ability to work in a team. Preferable would be a
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Engineering, Environmental Engineering, Hydrogeology, Geosciences, Environmental Sciences, or related STEM disciplines (e.g., Applied Mathematics, Physics, Computational Sciences). Experience in numerical
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Warwick Manufacturing Group Funded PhDs Funded opportunities to work on specific research projects in a variety of areas across WMG. Eligibility: PGR applicants in WMG Value: payment of academic fees and a UKRI level stipend, access to research support costs. Deadline: various Applications are...
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. Read more: https://wasp-sweden.org/graduate-school/ . Your qualifications You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of 240
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
consortium comes in. PRELIFE unites experts across a wide range of disciplines from astronomy, biology, chemistry, computer science, earth and planetary sciences, education, mathematics, to physics. Together
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degree (or equivalent). We welcome applications from exceptional students with STEM backgrounds (physics, engineering, applied mathematics, advanced mechanics) intersecting with photonics. English language
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the University of Birmingham. We are looking for a highly talented and dedicated PhD student with a 1st class or upper 2:1 degree in the field of transport studies, civil engineering, mathematics, social science
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) biological knowledge about GRNs from bioinformatics and system biology, (b) graph theory and topological data analysis for network modeling from mathematics, and (c) robust machine learning (ML) and GenAI from