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postdoctoral position is available in the laboratory of Prof. Alex Persat (EPFL School of Life Sciences, https://www.p-lab.science/ ) to establish a new image-based drug screening platform targeting gram
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Fribourg campus, with access to EPFL facilities and research infrastructure in both Fribourg and Lausanne. Additional information For more information about HOBEL: https://www.epfl.ch/labs/hobel/ For more
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. Main duties and responsibilities Extract and harden a scoring engine from an existing Python/Streamlit prototype into robust, standalone code Rebuild the data layer from Neo4j to a Python-native graph
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software which will contribute to achieve CIBM strategic objectives https://cibm.ch/the-center/ Main duties and responsibilities Liaise with the IT services of partner institutions (CHUV, UNIL, EPFL, UNIGE
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The performance of X-ray microscopy has improved significantly over the last decade, enabling synchrotron-based X-ray imaging to resolve individual transistors in modern semiconductor devices. As the industry moves
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The performance of X-ray microscopy has improved significantly over the last decade, enabling synchrotron-based X-ray imaging to resolve individual transistors in modern semiconductor devices. As the industry moves
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The performance of X-ray microscopy has improved significantly over the last decade, enabling synchrotron-based X-ray imaging to resolve individual transistors in modern semiconductor devices. As the industry moves
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responsibilities The Kim Laboratory at the École Polytechnique Fédérale de Lausanne (EPFL) (https://www.epfl.ch/labs/upkim/ ) is seeking a highly motivated postdoctoral researcher to investigate how neuronal
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this new hybrid network. Your code will directly enable the next generation of energy-efficient AI clusters. Project scope You will bridge the gap between custom optical hardware and standard AI software
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) Ensuring medical grade software quality following industry best practices for patients' usage at home and for researchers in rehabilitation facilities Designing, coding, and driving the automation of test