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Computer Science, Software Engineering, or Artificial Intelligence. You have strong programming skills and experience in developing AI solutions and real-time simulation platforms. You have strong written and spoken
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an essential process for life. When a cell is at a diseased state, the interaction landscape can drastically change. We develop chemical tools to investigate these interactions to understand health and
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system-wide manner. Your job Molecules in our body constantly make interactions. This is an essential process for life. When a cell is at a diseased state, the interaction landscape can drastically change
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Switzerland, the project aims to better understand urban densification as a contested process of land rent creation and redistribution, thereby exposing tensions among actors, values, discourses, and
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)”, funded by the Swiss National Science Foundation. Focusing on case studies in the Netherlands and Switzerland, the project aims to better understand urban densification as a contested process of land rent
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physics, stochastic processes, statistical inference, and epidemiology, with SARS-CoV-2 and influenza as key case studies. Your job In this project, you will develop a quantitative theory of evolution
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the magnetization will propagate without scattering and loss of energy. Such structures could potentially be a novel building block for future computer chips and more sustainable IT technologies. Your research will
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Institute for Pharmaceutical Sciences (UIPS) is the research institute of the department of Pharmaceutical Sciences of Utrecht University. UIPS focuses on processes around discovery, development, and use
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PhD position: Global soil mapping with process-informed machine learning Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline
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, support decision-makers, and advance debris-flow modelling for future research. In this PhD, you will carry out field measurements and run numerical simulations to better understand and predict debris-flow