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, and assist technical workshops, networking events and conferences (local and overseas). Qualifications • Candidate must have a PhD degree in Mechanical Engineering, Fluid Dynamics, Atmospheric
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selective absorption of solar radiation and suppression of thermal emission, enabling highly efficient solar-thermal materials. Your work will focus on the development of theoretical and computational models
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, using Arabidopsis thaliana as a primary model system. Role overview The postholder will investigate how internal root environments influence developmental decisions and tissue differentiation, with a
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outputs, including drafting academic publications or parts thereof, for example at seminars, conferences and as posters Develop or adapt techniques, models and methods, specifically in medical anthropology
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markets and their transitions. This position will contribute to a research portfolio, with approximately 50% of effort focused on upstream oil and gas production modeling (supply-side analysis), and the
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overall objective of the PhD work. The key research directions in this project includes: Geospatial and temporal analysis of the transportation dataset Multi-agent system modeling for fleet optimization
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or no later than June 1, 2026, for one year, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD degree (for Postdoctoral Fellow) or a
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biology, biological data science, multi-omics, imaging, modelling, and AI-driven approaches PhD candidates will benefit from: Access to state-of-the-art experimental and computational platforms Strong
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subsequently into models of antibiotic responses, with direct relevance for drug development and patient treatment. We (boecklab.com ) are looking for a scientist who will define the computational backbone
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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code