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sciences; Have experience in programming and/or quantitative data analysis; A keen interest in working across scientific disciplines, including physics, chemistry and biology; Excellent interpersonal and
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the vicinity of perennial snow fields during the growing season. The PhD student will also be responsible for analysis of data from eddy covariance sensors, weather stations, and hydrological installations, as
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the flexibility of neural methods. If successful, the work has the potential to advance applications such as automated theorem proving, knowledge-graph inference, and causal analysis. The Department of Computing
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Tomon. More information about Discrete Mathematics at Umeå University can be found on the group’s homepage: https://www.umu.se/en/research/groups/discrete-mathematics/ As a PhD student, you will be part
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quantum physics/chemistry, inorganic and materials chemistry, solid state chemistry or physics. · Good laboratory skills and interest in experimental research. · Programming skills for modeling and data