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: Łukasiewicz Research Network – PORT; project leader: Marcin Poręba, PhD, DSc, Prof. of WUST. The PACMAN project aims to develop a new class of antibody–drug conjugates (ADCs) that do not require internalization
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research agenda on trustworthy, data-driven software engineering and AI-assisted development. The successful candidate will work on Bug Report Intelligence for the Generative AI Era (BRIDGE) — exploring
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Rasmus Hartmann-Petersen (University of Copenhagen). For some background on our work on disordered proteins, see for example two recent reviews (https://doi.org/10.1016/j.sbi.2025.103028 & https://doi.org
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’. The position forms part of the larger ERC-funded AFRI-FOR project (https://afrifor.info/ ). In developing countries, reconciling nature protection and development goals (food security, poverty alleviation) make
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information about the department can be found on http://www.energy.dtu.dk . Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping
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Factor (PEDF) is required for the development and maintenance of the mammalian retina, but regulation of its abundance and activity remain poorly understood. This PhD project will address a critical gap in
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and deadlines, please visit: http://www.jsmc.uni-jena.de . Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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conversations between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. URL to this page https://web103
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 4 days ago
Development Department/Unit Family Medicine Location Halifax, Nova Scotia, Canada About the opportunity The Department of Family Medicine (Halifax Site), Dalhousie University and Nova Scotia Health (NSH) invite
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infrastructure by developing integrated, physics-informed data-driven methods that provide early insight into pipe failure risk. Research challenges Despite increasing data availability, there is still lack of