226 decision-making-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Netherlands
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Are you interested in the long‑term consequences of climate change and adaptation choices and the role that insurers and other financial institutions? Do you want to develop macroeconomic models
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Are you excited by ecosystem modeling, climate change and polar oceans? Do you enjoy quantitative work, coding, and turning ecology into equations? We are looking for a highly motivated PhD
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molecular-level reaction mechanisms to materials performance. This is what you are going to do Synthesize and characterize porous MOFs and MOF thin films, including tailoring pore and surface chemistry and
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engineering. Together, we learn by making, creating, and innovating, addressing challenges in a solution-oriented way. Quality, connection and inclusivity are the foundation of our culture. In our open
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project. As a PhD-researcher, you will work in a stimulating academic environment and collaborate with leading industrial partners. You will also have the opportunity to contribute to the academic community
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to create technological and spatial interventions that address loneliness in high schools. You will work across design, technology, and the social sciences, co-creating with students, teachers, and autistic
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reliability. Existing cryogenic sensors are often bulky, costly, and difficult to integrate. Although smart temperature sensors in CMOS technology have been developed for decades over the standard temperature
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these enriched datasets to assess the future insurability of flood risks. In addition, you will develop methods that use AI to produce rapid damage estimates for financial institutions in the event of an impending
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. However, harmful contaminants present in such waste streams (e.g., halogens, metals, and nitrogen compounds) can cause equipment corrosion, catalyst deactivation, and compromise product quality. We
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of an object or medium from measurements of waves that have propagated through it. Mathematically, such problems lead to large-scale nonlinear inverse problems governed by partial differential equations (PDEs