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and protocols for assessing fish welfare and resilience and will explore strategies to mitigate welfare risks and promote positive welfare outcomes in fish farming scenarios. You will work with nearby
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bridge between KTH’s expertise in early disaster risk detection (e.g., ignition risk mapping for wildfires) and DTU’s strength in AI-supported decision-making for safety-critical systems. Your work will
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dynamic community of PhD students and actively supports diversity. We are looking for a motivated applicant with good competences in operation research who wants to gain hands-on experience in cutting-edge
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resilience-centered approach, REUNATECH supports the European Green Deal, Sendai Frame-work, and UN Sustainable Development Goals. DCs will benefit from an immersive training structure comprising cross
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pavements that are subjected to moving, accelerating, braking, and turning wheel loads. The work will be carried out as part of the LOOPER project, supported by the Danish Energy Agency. The LOOPER project
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and operation of building HVAC systems, these technologies support both energy efficiency and flexible demand objectives. Model predictive control (MPC), which involves physics-based building energy
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or equivalent Additional Information Work Location(s) Number of offers available1Company/InstituteAarhus UniversityCountryDenmarkGeofield Contact City Aarhus Website https://phd.arts.au.dk/applicants/open-and
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Information Work Location(s) Number of offers available1Company/InstituteAarhus UniversityCountryDenmarkGeofield Contact City Aarhus Website https://phd.arts.au.dk/applicants/open-and-specific-calls/ Street
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Information Work Location(s) Number of offers available1Company/InstituteAarhus UniversityCountryDenmarkGeofield Contact City Aarhus Website https://phd.arts.au.dk/applicants/open-and-specific-calls/ Street
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Website https://phd.arts.au.dk/applicants/open-and-specific-calls Requirements Research FieldArtsEducation LevelMaster Degree or equivalent Additional Information Work Location(s) Number of offers