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properties of ultra-thin silica membranes (through e.g. transmission electron microscopy). There exist opportunities for being involved in the HCF fabrication process. The project is part of a consortium
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The position is intended to result in a doctoral degree and is limited to four years full time. If part-time teaching (max. 20%) can be offered, the employment period can be extended. Start date 1 September 2025
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, wildlife management, forestry and crop protection. The Evolving Networks Lab is part of the Insect Ecology unit Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about
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internationally respected, nationally influential, and regionally rooted part of Umeå University, Umeå School of Business, Economics, and Statistics contributes to societal development through education and
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://linnea.cs.umu.se/ This position is funded by the Swedish Research Council, through project 2024-04957 “Compiling General-size Linear Algebra Expressions using Equality Graphs”. The doctoral student will be part of
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, wildlife management, forestry and crop protection. The Evolving Networks Lab is part of the Insect Ecology unit Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about
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doctoral degree and the main assignment for the doctoral student is thus to be part of the research education, which includes participation in the described research project but also to take relevant courses
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models at boundary value level Experience in programming Meritious Experience in constitutive modelling of soils, including model formulation and implementation at element level Experience in numerical
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courses. The duties can include teaching and other departmental work (up to 20%). The employment is limited to the equivalent of four years of full-time (48 months) or up to five years for teaching part
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these systems operate in, ACPS increasingly rely on data-driven learning-enabled components to perform a variety of challenging decision-making tasks. While indispensable for autonomy, learning-enabled components