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Employment 0.8 - 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 31 August 2025 Apply now Are you eager
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academic teams to co-create actionable climate solutions. Contribute strategically to the development of CTPs complexity modelling, and predictive AI frameworks. Job Requirements: PhD degree in
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meaningful work, you’re in the right place. Why Your Role Matters: Join a leading research team at UNSW Business School, where you'll contribute to cutting-edge work on modelling and managing retirement, aged
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/thesis: Industry-/collaboration PhD student in optimized off-road driving in forests Research subject: Soil science Description: We are looking for an industry/collaboration-based PhD student to develop a
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colleague for this position, able to partake the following primary tasks: Model remanufacturing effects on materials (thermoplastics and metals) properties and processability – both data-driven and multi
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machine learning and Bayesian methods to interpret seismic tomographic models of the elastic structure of the deep Earth in terms of temperature and mineralogy. Using thermodynamic properties databases
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Description At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13
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-driven analysis and modeling. These are interdisciplinary positions that combine environmental engineering, materials science, and sustainability assessment. We are looking for motivated and forward
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Description HPAE 5094 Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience PhD or equivalent in