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of energy and a large part of this energy is used for conditioning indoor environments. There is a global need to identify heating, cooling and ventilation (HVAC) solutions that create optimal indoor
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select a technique adaptable in the laboratory scale environment for further experimental work. Design and perform lab-scale experiments in the laboratories at TU Delft. Develop a mathematical model
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collection. Evaluate protein content, nutritional value, and functional properties of yeast biomass in various fermentation processes. Develop and optimize both liquid fermentation strategies offering high
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at Durham University. This is a unique opportunity to work at the forefront of hydrogen technologies and their integration to the energy systems. The successful candidate will hold a PhD degree (or
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associate will lead collaborative efforts in advancing research focusing on the intersection of infrastructure, climate, and human health. Examples of current active projects include: Developing optimization
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-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning
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research project aiming to design, optimize, and evaluate electrochemical systems [electrodialysis with bipolar membranes (BMED] for sustainable desalination brine treatment, at the crossroads
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, and optimization of inorganic materials for various sustainable energy processes. We work diligently to contribute to the competitiveness of Moroccan and African companies by conducting research across
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strategies — developing systems that can respond dynamically to neural and behavioral signals in real time. Your Role: Develop and evaluate new methods for optimizing DBS therapy — from imaging and modeling
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Associate with mathematical modelling and numerical/data analysis background to join our food system resilience project, led by University of Reading, joining a large interdisciplinary team with an excellent