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indicators for pig welfare to be used in screening of pig welfare in relation to inspection Development and evaluation of training and testing programmes targeting European pig welfare inspectors The
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innovation projects. Experience developing, testing, and validating methods, data frameworks, and prototypes. Experience collaborating with universities, private companies, and public-sector
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. Integration of autonomy with onboard inspection payloads (cameras, microphones) and existing turbine data. Operation and flight testing of multi-rotor UAS, including experiments at turbine sites. During
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currently one of the largest worldwide in academic settings and allows testing of unique and novel ideas at a relevant scale for industry. The work will be carried out as part of a team working in
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, reliability, and cost, and validating designs through simulation and testing. Experience in advanced BMS development, control strategies, and system integration is an advantage. You are expected to think
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economic vulnerabilities Collect and analyse qualitative and quantitative studies (usability testing, field pilots, interviews, survey, digital usage data) to test usability, acceptability
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discovery to testing. You will report to Professor Ole S. Søgaard, Depts. of Infectious Diseases and Clinical Medicine. Your competences You have academic qualifications at PhD level, for example within
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engineering, software testing, or software repair. An interest in software reliability challenges arising from AI-generated and AI-modified code. Experience with empirical evaluation, software
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written) Knowledge of or experience with innovation processes, feasibility testing, and health economic evaluation will be considered an advantage. Qualification requirements PhD stipends are allocated to
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and Turbulence group, led by Associate Professor Mahdi Abkar, focuses on developing and testing improved numerical models to predict the complex interaction between turbulent flows and the environment