192 data-"https:"-"https:"-"https:"-"https:"-"Anglia-Ruskin-University" positions in Sweden
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-Geometric Foundations of Deep Learning or Computer Vision KTH Royal Institute of Technology, School of Engineering Sciences Job description The Department of Mathematics at KTH welcomes applications for a
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“carbon farming” programs, and how data flows between these actors. Actors may include small-scale start-ups, large-scale multinational chemical companies, tech companies, banks and carbon credit platforms
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total of approximately 1,400 employees and 17,700 students spread across two inspiring campus environments in Karlstad and Arvika. More information at: kau.se/en/work-with-us This translation carries
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and support computational analyses of high-dimensional molecular data related to wound healing and skin biology. Responsibilities include: developing and applying reproducible pipelines for single-cell
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the integration of AI tools in the research process and within the unit’s own work Lead and develop JU’s work on research data and open science Coordinate research-related activities and initiatives across JU
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mortality and healthcare burden globally. We are now looking for an enthusiastic and talented person to strengthen the Unit’s expertise in data mining, artificial intelligence, epidemiology, public health
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and tissue culture. Molecular biology and immunohistochemistry. Image analysis, data visualization, or programming. The position is full-time and limited to 6 months. Application Your application should
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datasets from Fennoscandian lakes—including climate data, water chemistry, biotic indicators, and satellite remote sensing. The main goal is to identify critical ecological thresholds that, when not met
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activities in the Abisko region. This work includes planning and implementing environmental data collection in aquatic and terrestrial environments and laboratory work. The work is physically demanding and
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semesters (6 years), with programme starts each autumn and spring semester. More information about the programme can be found on the faculty web site - Doctoral studies at the Faculty of Medicine . About the