357 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions in Switzerland
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computational analyses of single-cell, spatial transcriptomics, and multi-omics datasets Developing and maintaining reproducible, well-documented analysis pipelines Applying and adapting machine learning and AI
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interdisciplinary research community at the EPFL School of Life Sciences fosters interactions with allied disciplines on campus, including engineering, physics, chemistry and computer sciences. EPFL offers an English
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and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure
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Opportunities to learn cutting edge techniques Perspectives for career development A diverse and interdisciplinary team Working, teaching and research at ETH Zurich We value diversity and sustainabilityIn line
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environment. In line with our and Uni Basel values ( https://www.unibas.ch/en/Research/Values-Ethics/Diversity-and-Inclusion.html ), we are committed to sustain and promote an inclusive culture, ensure equal
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essential, while experience with machine learning is advantageous but not strictly required. Excellent English skills, both in verbal and written communication, are required for the project. We are looking
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approaches. The research will also design a European-scale turbidity and sediment monitoring framework combining in situ observations and satellite remote sensing. Where to apply Website https://jobs.unibas.ch
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the Collaborative Doctoral Partnerships programme, training researchers at the science-policy interface. Where to apply Website https://jobs.unibas.ch/offene-stellen/phd-position-ai-driven-pathways-to-health
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agencies such as Swiss National Science Foundation, Innosuisse or European agencies, and develop consulting mandates with private sector industry partners; - Teach one or more of the following subjects
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private sector industry partners; - Teach one or more of the following subjects (consumer behaviour, market research, brand and sales management, digital marketing, e-commerce & social media, international