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create a toolbox to help design energy systems that fit local needs, integrating heat and electricity solutions. These solutions are tested in real-life situations to prove their effectiveness
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the ability to work independently. Eagerness to acquire new knowledge and skills (e.g., machine learning, high-performance computing) that will support both the project and your personal development
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Your job We are seeking a PhD candidate to drive the transformation of food product development through the integration of high-throughput experimentation (HTE), data science, and food processing
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neuronal and synaptic functioning, identify treatment targets, and screen treatments. About the organisation The Faculty of Science & Technology (Technische Natuurwetenschappen, TNW) engages some 700 staff
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provide intuitive, human-interpretable explanations for complex model predictions derived from Earth Observation data, including high-resolution satellite and aerial imagery. You will engage in a
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external link , the Geolab external link , and the Earth Simulation Laboratory external link . Moreover, the department has excellent High-Performance Computing facilities. The department is located
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of the EmPowerED project is to accelerate the very challenging heat and energy transition in neighbourhoods. Addressing this challenge requires new knowledge of innovative technologies, energy system integration
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technologies. The successful candidate will have strong data-driven methodological learning opportunities with high social impact on cancer care organisation. They will work within an interdisciplinary team
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the related biogeochemical controls. Position 2: Anaerobic methane removal. High-latitude coastal sediments are increasingly subject to an increased input of organic matter and metal oxides from land
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predictive models and novel measurement methods that improve coating performance for corrosion protection, heat reflection and radiation shielding. You will collaborate closely with our industrial partners