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(e.g. Python, Julia), You have an interest in, or experience with, machine learning approaches for scientific data analysis. You have a strong interest in interdisciplinary research and enjoy
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candidate to develop data-driven financial forecasting, planning, and scenario-analysis tools. You will work on three closely connected tasks in Horizon Europe funded “Sustainable Circular Economy Transition
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strands of data collection and analysis, including semi-structured interviews with undergraduate students and analysing coursework artefacts; analysing how students interpret, evaluate, and represent
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Postdoc in Application of eXtended Reality for Inclusive Automated Vehicle and Road User Interaction
, supportive environment that fosters learning and professional growth. Job requirements Hold a PhD degree in a relevant field (e.g., Transportation, Human-Computer Interaction, Computer Science, or a closely
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conditions, drawing on survey data, earth observation outputs, and qualitative inquiry from all consortium partners. Mentorship and capacity strengthening Contribute to the supervision and mentoring of PhD and
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protocols for cell phenotyping and sorting; bioinformatics - developing and running computational pipelines for transcriptomic and multi-omics data analysis and interpretation. Within the scope of the project
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24 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Geosciences » Geology Researcher Profile Recognised Researcher (R2) Application Deadline 16
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scholars, communication scholars, digital humanities and computer scientists. Experience with organising workshops, lecture series, and similar events. A PhD degree in Law, Political science, Information
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24 Jun 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Architecture » Design Engineering » Civil engineering Engineering » Thermal engineering
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topics such as Hamilton-Jacobi Bellman equations, stochastic optimisation frameworks, game-theoretical analysis of space logistics, high order automated differentiation, neural and Hamiltonian ODEs, data