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forms, including areal data, geostatistical measurements of continuous fields, and point pattern data. In point pattern data, the primary information consists of the locations of events observed within a
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to translate fundamental mechanistic understanding into broadly applicable strategies for catalyst and electrochemical system optimization. The PhD student will work on the design, characterization, optimization
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with European industry. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning
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analyses using both DDA and DIA methodologies. Conducting bioinformatic and statistical analyses of peptidomic datasets to identify peptide patterns, proteolytic signatures, and candidate peptides with
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, spectroscopy, microscopy and structural characterization. The student will design, plan, and execute the experimental work, often in collaboration with colleagues, critically analyze and discuss the results, and
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. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning, and works on
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international professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ Project description The project focuses on the design and analysis of modes
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interfaces, you will establish scientifically grounded design principles for sustainable electrolytes that meet industrial performance requirements. The main activities involved in the doctoral studies are in
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
The project will develop ultrafast optical logic and memory concepts using spatiotemporal metamaterials. The doctoral candidate will design metamaterial structures coupled to quantum emitters for ultrafast
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of spatiotemporal polaritons and to design spatiotemporal metamaterial platforms supporting new forms of hybrid light–matter dynamics. The work combines nanophotonics, metamaterials, ultrafast optics, condensed