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mass-transfer properties influence adsorption performance, pressure drop, thermal management, and cyclic stability under humid process conditions. The project will further involve scale-up, process
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understanding of these mechanisms has the potential to improve our understanding of disease progression while enabling more personalized management. The PhD project aims to advance our understanding
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of at most 20%, including teaching and administration, may also be included in the employment. Requirements To meet the general entry requirements for doctoral studies, you must: Hold a Master’s degree in
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PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
project manager, combined with your development. Involvement with other projects and teaching will occur up to 20 percent of your time. QUALIFICATIONS Appropriate background for the position is a Master of
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theory, geometric group theory, and rigidity theory, depending on the interests and background of the successful candidate. The exact direction of the project will be developed together with the successful
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administration, in accordance with specific regulations in the ordinance. Type of employment Limit of tenure, four years according to HF 5 kap 7§. How to apply Applications are to be submitted via the University’s
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employed on a doctoral studentship which means that you receive a contractual salary. Employees also have access to our modern gym for free and receive reimbursements for medical care. Eligibility
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medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will
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Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through
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system analysis. The work includes integrating AI methods with energy system models as well as developing methods for transparency, explainability, and uncertainty management, with a particular focus on