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to cause infection. The specific aim is to use a combination of protein mass spectrometry and methods within integrative structural biology to identify and describe such host–pathogen protein–protein
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infections, while contributing to a strong collaborative research setting with significant potential for advancing therapies for acute and chronic infections Within the research group, we value a good work
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for efficient last-mile deliveries with a focus on climate and flexibility. Using advanced modeling and data analysis, you’ll create solutions that make final deliveries smarter and more sustainable. Your work
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University employee: Work at Lund University Work assignments As a doctoral student, you will be part of the project "Identification of surface antigens for the treatment of brain tumors". The tasks include
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, electromagnetics, optimization, machine learning, and networking. Strong documented experience in these areas is commendable, particularly by having published your work. Candidates should have an excellent mastering
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well as system engineering approaches (modeling and simulation, geometallurgy). Experimental work (with processing of ore and mineral) is carried out in our well-equipped mineral processing laboratory with access
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and simulation, geometallurgy). Experimental work (with processing of ore and mineral) is carried out in our well-equipped mineral processing laboratory with access to the very latest analytical
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genetics and data from real-world forestry to better understand how trees grow and adapt. It is perfect for you who want to combine hands-on field sampling, lab-based DNA work and big-data analysis. WIFORCE
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what it is like to work at Uppsala University. Project description Human brains can process complex, dynamic, and real-time information with remarkable efficiency after millions of years of evolution
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Skłodowska-Curie Action (MSCA), Stockholm University is offering a PhD fellowship for a Doctoral Candidate (DC), starting August 1, 2026 or as soon as possible hereafter as part of the ENERPOL MSCA Doctoral