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are investigating the effects of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats
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pharmaceutical manufacturing and additive manufacturing. Requirements: Candidates should have a background in one of: engineering, materials science, physics, or chemistry, and be willing to learn new disciplines
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no more than 20 hrs per week), and to participate in a teaching skills course without further remuneration. Application process: For details of how to apply, and for any queries, contact hls-applications
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process. A standard/enhanced/ enhanced with barred lists DBS check will be needed for this role. More details on the checks can be found on the Government website: gov.uk/criminal-record-checks-apply-role
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51 Faculty of Physics Startdate: 01.09.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.08.2029 Reference Reference no.: 4391 We are a
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your suitability with evidence of the following: Have backgrounds in computer science (or engineering), system engineering, or physics/mathematics. Knowledgeable in machine learning techniques (had
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seek a proactive and enthusiastic individual with a first-class or upper second-class honours degree (or equivalent) in: Engineering (Mechanical, Materials, or related disciplines) Physics, Chemistry, or
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infrastructure. However, the increasing application requirements and rising threats from intentional interferences, spoofing, and cyber-physical attacks expose vulnerabilities in conventional GNSS-centric systems
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should have or expect to achieve, at least a 2:1 (or equivalent) in any engineering degree programme, physics or mathematics. English language requirements: Applicants must meet the minimum
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methods for nuclear fusion, motivated by yield prediction in tritium fuel cycles. The lack of scalable tools necessitates large engineering tolerances, increasing reactor cost. Empirical tests are expensive