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calculated using our Software Energy Lab, which has multiple test machines with GPUs and, in the future, AI accelerators. Development teams currently lack guidance on how to create sustainable systems. You
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interventions are maintained in the context of stressors. In order to examine these questions, the project will use multiple methods such as experience sampling, laboratory tasks, and a randomized-controlled
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, can play a vital role in creating inclusive learning environments but might lack diverse perspectives. This limits opportunities for students to engage with multiple viewpoints and hinders epistemic
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”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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the molten salt/metal interface at multiple scales, from atomistic to mesoscopic, with the goal of identifying the fundamental mechanisms driving corrosion. Moreover, you will use this knowledge to suggest
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chemistry, theory and chemical engineering, investigate how solvents play an active roll in the control, mediation and regulation of chemical reactions and processes. RESOLV’s mission stretches from
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dynamic research environment. Strong organizational skills and ability to manage multiple tasks and deadlines effectively. Adaptability and openness to learning new methodologies and techniques. Commitment
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from multiple academic disciplines and a dialogue between the sciences and humanities. The Doctoral Programme in Environment and Society promotes both disciplinary depth and interdisciplinary approaches
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microglia is a hallmark of neurodegenerative diseases such as multiple sclerosis (MS) and Alzheimer’s Disease (AD). These lipid-loaded microglia are associated with disease pathology and enhance
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. You are willing to work in a multidisciplinary context• Previous experience with active inference, reinforcement learning or other ML-based techniques for control is considered a plus but is not a