728 computer-science-intern "https:" "https:" "https:" "https:" "Ulster University" PhD positions in United Kingdom
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modelling in a collaborative research environment. Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree in Engineering or a related discipline, and a strong interest in
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Requirements Essential Criteria MSc (or equivalent) in a relevant discipline (e.g. Computer Science, Robotics, Architecture, or related fields). Knowledge or experience in robotics or architectural systems
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have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm
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. How to Apply: All applications should be made online . Under programme name, select Electronic, Systems and Electrical Engineering. Please quote the advertised reference number: FP-SA26-CP in your
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diversifications consume additional resources (computational, bandwidth, human). Research Aim and Objectives: It aims to deliver a bold cutting-edge technology: Moving Target Defense (MTD). MTD involves continuously
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these programme link learning directly to the working professional. We believe that this philosophy directly fits with the requirements laid down by apprenticeship standards, serving both apprentice and employer
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-for-profits, technology providers, and universities - to identify relational strategies that foster sustainable and circular practices. The successful candidate will develop deep expertise in building B2B
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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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background in engineering (electrical/mechanical/electrochemical), achieving a 1st or 2(1) in their undergraduate studies with a focus on experimental activities, engineering design and numerical analysis. A
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in recycling, bioremediation and green chemistry. Candidate enzymes are mechanistically investigated, structurally characterised and subsequently improved by directed evolution. Ultrahigh-throughput