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missing physics rules to interpret experimental observations. The GLYCOCALYX Network will train 15 PhD Fellows in chemistry, physics and biology methods and concepts required to resolve the dynamic
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on its own methodological traditions, faculty members necessarily apply a wide range of methods and frequently rely on meta-analysis, event history modelling, fs/QCA, and ethnographic observations. RSM
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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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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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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 1 month ago
which the candidate is expected to bring expertise in enzymology, as well as experience with different heterologous expression hosts, expression vectors, and assembly methods. Any national, foreign and
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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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look forward to receiving your application! Do you have a background in machine learning and interested in telecommunications? You have a chance to contribute to development of sensing methods for new
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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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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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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