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Field
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principled new models and methods, for modern machine learning problems. Machine learning recently has been largely advanced by differential equation-based frameworks, such as generative diffusion models
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pitfalls and sources of bias. This method may generate reliable evidence for underrepresented populations (e.g., older adults, people with multimorbidity, pregnant women). Two secondment placements
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DTU Tenure Track Researcher in Experimental High Pressure Phase Behavior for CO2 Storage and Othe...
to the development and improvement of experimental methods and measurement techniques in this field. High-pressure phase behavior and thermophysical properties are essential for the reliable design and safe operation
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complementary and synergic methods at the intersection of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation
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projects with funding in that thematic area. VI. Formalization of the application 1. Applications may be submitted in Portuguese or English and must be submitted through the Recruitment platform in https
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transcriptomics, mechanobiology methods, and drug screening assays. The project has the potential to deliver a next-generation research tool and data that may support future clinical decision-making within
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investigates how individuals and communities in Central Asia pursue justice and rights outside formal legal channels and institutions, using informal negotiations and everyday social interactions. It explores
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, Formal Methods, and Human-Centred Computing. We place a strong emphasis on psychological safety, diversity, and inclusive research practices, and work actively to cultivate a positive everyday environment
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project Socio-Spatial Situatedness of Roman Professions and its Impact on Religion in the Roman Empire: A Formal Modeling Approach (SIPROME). The SIPROME project investigates how professions and the socio
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skills; preference will be given to candidates with experience in writing scientific papers and projects. 9.3) Experience in experimental method optimisation and laboratory-based research for marine