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and how neuro-immune communication contributes to inflammatory or tumour-associated disease states. Approaches include neuronal tracing, in vivo disease models, genetic and viral manipulation
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with other 2D and 3D techniques such as H&E and LSFM. The work will be done in close cooperation and synergy with an already running PhD project. Partly existing database will be used and extended
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a new research collaborator with a PhD in building technology, preferably in the field of building materials and/or building envelope performance and/or building renovation. The candidate must be
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field of research Participate in education, and PhD and master student supervision Profile Strong background in computational biology, bioinformatics, machine learning, or a related quantitative field
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. To that end, we are interested in developing droplet-based iontronic systems, termed dropletronics , with key functions of embodied energy, logic control, stimulus responsiveness, and therapeutic delivery
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to answer: How temporal and structural sparsity can be incorporated into the 3D dynamics reconstruction model? How sparse can a measurement be and still capture a high-resolution dynamic event? How do
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to answer: How temporal and structural sparsity can be incorporated into the 3D dynamics reconstruction model? How sparse can a measurement be and still capture a high-resolution dynamic event? How do
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and highly interdisciplinary research environment, bringing together expertise in theory, nanoparticle science, OLED technology, and organic chemistry. You will work closely with two ongoing PhD
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positions. https://www.epfl.ch/labs/entc/ Education You will work closely with Dr. Davide Bavato, head of EPFL’s recently established Entrepreneurship Education Hub. The Hub is developing a structured
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of solid sorbents. Sorbent modelling and prediction of performance or ageing. Our offer We offer a stimulating, international, and collaborative research environment at a leading research institution with