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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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, statistics, or a related field. Minimum Requirements Experience using chlorophyll fluorescence using PAM fluorometry, data analysis using mathematical models, and comfort with coding to control custom
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/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively, friendly and collaborative research environment in cold regions sciences, in
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centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively, friendly and
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methods and bioinformatics tools for integration of multi-omics and gene regulatory networks. The long-term research goal is to answer the key scientific question “How non-coding genetic variant act
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conducting and analyzing molecular dynamics simulations Experience using high-performance computing platforms Experience developing neural network models Experience using AI-assisted coding tools for
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Connectivity for Demanding Markets. Within the faculty of Engineering and Architecture, the IDLab research group (https://idlab.ugent.be/home) performs research on internet technologies and data
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engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow. The role will focus on helping to build thermal-flow
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. Strong programming and computational methods expertise, including Python, R or similar languages, machine learning, NLP, text mining and reproducible coding practices. Experience analysing social media
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work closely with a research team working on a Medical Research Council funded project which aims to characterize non-coding regions of the genome that confer risk to osteoarthritis using functional