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main areas of research are machine learning, distributed systems, and the theory of networks. Within these three areas, we are currently working on several projects: graph neural networks, natural
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prognostic markers in histological images through neuronal networks. Job description The successful candidate will play a central role in generating and analyzing spatial transcriptomics and image datasets
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 14 hours ago
projects. Additionally, you have a proven track record in developing and financing research projects and an established network in your field. You are a proactive, integrative and committed individual with
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networks. Disseminate research findings through high-quality publications in leading scientific journals, presentations at international conferences, and contributions to teaching and mentoring within
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well as computational analysis (bioinformatics, data handling and AI-supported analysis and engineering). The work is embedded in a network of groups in Xenobiology located in France, Germany, and Belgium. Applications
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between different disciplines. It has a wide international network as well as strong links with research institutions in Switzerland, in particular with the large scale facilities at the Paul Scherrer
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dependable network within the offshore and maritime industries Excellent communication skills, strong negotiation abilities, and intercultural competence, convincing personality with a talent for winning
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upcoming areas off the beaten paths. Our three main areas of research are machine learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects
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to understanding the innervation landscape of peripheral tumors and its role in immuno-oncology. We are particularly interested in candidates who have previously worked on cellular and molecular networks underlying