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improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and
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materials synthesis with synchrotron radiation, neutron scattering, spectroscopy and electroanalytical methods. A major research direction is the development of physical methods and models for the description
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and excellent working conditions – more information can be found on our website (https://www.epfl.ch/campus/services/human-resources/en/basic-starting-salary-of-doctoral-assistants-and-postdocs
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Your position We combine mouse tumour models, immunology, molecular biology, flow cytometry, imaging and single-cell approaches to investigate how neurons, immune cells and stromal cells communicate
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interpretation of the results including population decoding, computational modeling of retinal circuits, and biophysical modelling. One possible research direction is to study the biophysics of the signal
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communities as a model system. Main duties and responsibilities Anaerobic digestion communities are among the best-characterized and most ecologically important microbial ecosystems. Composed of diverse
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computational modeling, mathematical modeling, or experimental psychology. Profile We thrive on interdisciplinary collaboration. You should hold a PhD in musicology, computer science, cognitive science
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. Prior experience with animal models, 3D culture systems and/or computational analyses will be an advantage. The salary will be according to EPFL standards. Informations Formal applications should be
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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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of an optoelectronic implant for bladder dysfunction in rodent models Collect and analyse electrophysiological and behavioural data Histologically evaluate tissue following chronic implantation Work independently and as