257 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions in Netherlands
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feedbacks may push deltas past a tipping point, leading to rapid land loss. This project aims to quantify the life expectancies of global deltas. We offer two positions — a PhD on Holocene delta modelling and
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years), or be close to completing a PhD in engineering or physics, preferably with a focus on the development of fluid-thermal-structure interaction mathematical models. A thesis topic relevant to
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to build predictive models Collaborate closely with experimentalists and modelling experts Project Environment This position is part of a collaborative research project involving: Two PhD students at TU
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field with a strong background in mathematical modeling and optimization (completed or near completion). Have experience with energy-related projects or a strong motivation to learn and apply energy
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AI-driven neurocomputational models! Job Description As a Postdoctoral Researcher in our team, you will play a key role in developing and coordinating research on neurocomputational models
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if you Have a PhD in operations research, industrial engineering, or a related field with a strong background in mathematical modeling and optimization (completed or near completion). Have experience with
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PhD in operations research, industrial engineering, or a related field with a strong background in mathematical modeling and optimization (completed or near completion). - Have experience with energy
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on the aerodynamics of nacelle/wing models of future aircraft. Job description The aviation industry stands at the forefront of its highly-needed transition to sustainable operation. To achieve this, the aviation
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related to staff position within a Research Infrastructure? No Offer Description How are human ideologies and prejudices amplified by AI models? How do human biases get into AI model training data? And how
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is crucial for the survival of syntrophic populations, which are at the core of any fermentative microbiome. Through this project, we aim to advance the integration of mathematical modelling in