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coding languages, such as R and Python Willingness to learn new methods and pipeline development by interacting with others Willingness to help train others Ability to read literature and learn vision
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to 6 Hours Communication skills - Frequent 3 to 6 Hours Numerical skills - Occasional Up to 3 Hours Constant Interaction - Frequent 3 to 6 Hours Customer/Patient Contact - Occasional Up to 3 Hours
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sociology. Strong quantitative skills and experience with large-scale data analysis required. Computer Science/HCI: PhD in Computer Science, Human-Computer Interaction, Information Science, or related
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-therapeutics Laboratory and the Centre for Cancer Immunology, and will interact regularly with internal and external collaborators, as well as the project funders and their supporters. The role also includes
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-related activities. Expected to provide intellectual and interactive commitment to position by keeping up with appropriate literature and research publications. Train and oversee the lab work of research
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District (CATSA), while maintaining strong scientific interaction with CRG laboratories and infrastructures in Barcelona. This first call aims to recruit two outstanding researchers who will lead the initial
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and humpback whales), AIS vessel tracking data, and fisheries data to produce standardized plots for data visualisation. The same datasets will be analysed to describe killer whale interactions with
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the interactions between ink and fiber, optimize track architecture, and ensure long term functional stability. This research direction is highly promising due to its broad applicability in health monitoring, sports
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 2 months ago
research across the School. We study the molecular biology and genetics of pathogens and interaction with their hosts, to improve understanding and control of infectious diseases and to understand how
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for light–matter interaction in hyperuniform disordered plasmonic structures, including electromagnetic modelling, optimisation of metal–dielectric–metal resonators, and physics-informed machine-learning