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different curation levels for individual researchers, projects, and institutions, providing access to archived data, including access to sensitive data, the data registration agency da|ra, and data management
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computable general equilibrium modeling, led by five team members. The first three pillars concern the development of computational agent-based models to explore three different channels of risk propagation
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will be doing In adult mammals, including humans, fibrosis is the predominant response to many forms of tissue injury, unlike many lower vertebrates and invertebrates, where complete tissue repair is the
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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relevant programming languages, particularly python Knowledge of, and experience from, the maritime industry Knowledge of generative models, reinforcement learning, or geometric deep learning. Experience
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
autonomy, in microscopy techniques such as live-cell imaging; Good analytical skills, critical thinking, and problem-solver mindset; Knowledge of Python programming language; Excellent oral and written
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, extinctions, and environmental change; ● Running simulations and scenario analyses to explore how different discounting rules or time preferences shift optimal conservation choices; ● Fitting models
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skills in relevant programming languages, particularly python Knowledge of, and experience from, the maritime industry Knowledge of generative models, reinforcement learning, or geometric deep learning
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application! Your work assignments You will work on X-inactivation and allele-specific DNA methylation in different contexts, including X-linked diseases, autoimmune disorders, and hereditary cancer as part of
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
quality. Secondly, different machine learning strategies based on traditional supervised learning techniques (e. g. random forest (RF), artificial neural network (ANN)) will be applied using the parameters