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, Processing: In this research area, we investigate how to establish new key processes to make the most of the impure raw materials sourced from the Martian atmosphere and regolith to flexibly and efficiently
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Chemistry, Atmospheric Dynamics, Desertification and Land use, and many other subjects. You will be co-supervised by Dr. D. (Dragan) Milosevic and Dr. G.J. (Gert-Jan) Steeneveld. Where to apply Website https
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of an international selection procedure for the recruitment of 1 Junior Researcher Under the terms of Order no. 13828/2025, of 20 November, by delegation of powers, the Director of the NOVA School of Science and
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develop computational and structure-guided approaches to understand immune recognition and design next-generation vaccines against respiratory pathogens. Our work integrates computational protein design
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PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
Materials consists of seven senior researchers, two technicians, and eleven doctoral students. SUBJECT DESCRIPTION Engineering materials includes the field of material composition, structure, properties and
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. The Department of Business Administration has about 60 members of staff. We pursue research within four sections Entrepreneurship, Management, Marketing and Accounting/Finance. Read more about USBE here: https
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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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information and proposed data structures in the newly established remanufacturing light house laboratories at Flanders Make @ KU Leuven, in Belgium, Heverlee, managed by the LCE research group. Through
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supervised by Mykola Pechenizkiy, Cassio de Campos and Clemens Dubslaff. Where to apply Website https://www.academictransfer.com/en/jobs/362817/phd-in-resilient-machine-learni… Requirements Specific
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into different stages of optimization, both as priors and as feedback after optimization outcomes. Information This PhD project is a part of the CoRDS project – Confident Data-Driven Decision Support (https