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modification of primary human immune cells (T cells and macrophages). Conduct in vitro validations using advanced models, including patient-derived organoids and co-culture systems. Perform in vivo validations
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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activation and micromechanical modeling Progressive damage modeling of reinforced FRPs Mechanical characterization and fracture experiments Complete a PhD thesis at ETHZ Your profile Highly motivated and
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Field Theory Appl Deadline: 2025/04/27 11:59PM filled (posted 2025/03/31, listed until 2025/09/30) Position Description: Apply Position Description The Theoretical Particle Physics Laboratory (LPTP
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fundamental questions including: How can we best simulate Hermitian and non-Hermitian strongly correlated quantum systems and harness the power of both classical and quantum computing resources? How can we
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layers, thorough FLA processing, and extensive materials characteri-zation using XRD, electron microscopies, TOF-SIMS, electrochemical methods, etc. Modeling and simulations should help us to explain
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is therefore expect to have experience in at least one of these interdisciplinary areas: 1. Neuroscience and/or VLSI basic device physics. 2. Spike-based computing paradigms: theory and modeling. 3
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of our staff are post-docs, post-graduates or apprentices. Altogether, PSI employs 2300 people. For the Nanodiffraction Group we are looking for a PhD Student in low-energy electron holography Your tasks
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of systems. We develop methods to advance sustainable energy and chemical process systems from the molecular to the scale of the systems. Our work combines process analysis and system modeling to design
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of our staff are post-docs, post-graduates or apprentices. Altogether, PSI employs 2300 people. For the Syn Flow group at the Femtochemistry laboratory we are looking for a PhD Student in operando