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– Adsorption and reaction of small gaseous non-metal oxides on model mineral particles under light illumination. The position is for four years of doctoral studies, including participation in research and
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migratory species, invasive species, and pathogens across forest ecosystems affected by intensive forestry. Leveraging a globally unique 60-year archive of weekly air filter samples from Kiruna and newly
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across forest ecosystems affected by intensive forestry. Leveraging a globally unique 60-year archive of weekly air filter samples from Kiruna and newly collected samples from Skåne, the PhD student will
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. The research in the PhD project will focus on core spatio-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation
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-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation methods for data assimilation; and graph-based multi
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, our research in mineral processing consists of three pillars: material characterization (mineralogical and particle analyses), unit operations (such as comminution and separation processes) as
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consists of three pillars: material characterization (mineralogical and particle analyses), unit operations (such as comminution and separation processes) as well as system engineering approaches (modeling
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Biochemistry Structure and dynamics of proteins using time-resolved single-particle cryo EM. Department of Chemistry for Life Sciences conducts research and education in analytical chemistry, biochemistry and
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experience with advanced signal processing concepts as well as digital filters is advantageous. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts
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well as digital filters is advantageous. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts teaching and research in a broad range of areas, from