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PhD Research Fellow in Machine Learning/Artificial Intelligence for Planetary Ground Penetrating Radar available at Centre for Space Sensors and Systems (CENSSS) at the Department of Technology Systems
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Position as PhD Research Fellow is available at the Department of Technology Systems (ITS) as a part of the European ATLAST2 Project. The project is a concept for a next generation 50-meter class single-dish
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) at the Department of Technology Systems (ITS). Starting date no later than November 1, 2025. The fellowship period is three years. A fourth year maybe considered and it will involve 25 percent of other career
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three years. A fourth year maybe considered and it will involve 25 percent of other career-promoting work. Other career-promoting work may consist of teaching, supervision, and/or research assistance
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advertisement About the position Position as PhD Research Fellow is available at the Department of Technology Systems (ITS) as a part of the European ATLAST2 Project. The project is a concept for a next
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. The fellowship period is three years. A fourth year maybe considered and it will involve 25 percent of other career-promoting work. Other career-promoting work may consist of teaching, supervision, and/or research
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or mediated by digital tools, which partake into complex collaboration ecologies. The rise of intelligent technologies, such as generative AI tools, has placed the spotlight on new forms of collaboration
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, programming, data modeling and analysis, scientific writing, and public presentation Ability to work with specific technologies that are commonly used in the group include Python, Fortran, high-performance
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in geochemical modeling available at Department of geoscience/FME GigaCCS. Starting date as soon as possible. The fellowship period is three years. A fourth year maybe considered and it will involve 25
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to create new designs that optimize water yield. The project aspires to elucidate the physics governing droplet impact and wetting on fibrous networks in order to enhance fog net technology. The planned work