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conversion reactions. The second position is focused on modelling stability of electrocatalyst materials. The aim is to develop a framework to predict metastability of catalyst materials. Among the methods
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collections interact with power, knowledge, and ongoing processes of heritagization. The candidate is encouraged to develop new methodologies that center community-led, ethical, and innovative approaches
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ambitious new project on the safe deployment of medical imaging AI. The purpose of the role is to conduct world-leading research on AI for medical imaging. The goal is to develop methodologies and
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from the various offers and activities. A list of potential PDS supervisors is available from https://www.uni-goettingen.de/en/577092.html (choose “Data Science” as the programme in the drop-down menu
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
available for sustainable bioproduction. By utilizing and advancing state-of-the-art tools for microbial engineering and characterization, you will develop and implement synthetic metabolism strategies
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management and thus to a higher overall system efficiency. This PhD research project targets the development of novel composite magnetic materials and package-embedded power magnetic core inductors based
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– depending on the successful candidate’s background and interests. Your tasks: Develop new exact and approximation algorithms and perform complexity analyses for optimization problems on (temporal) graphs
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Engineering, University of Groningen. The research is aimed at the development of novel methods for nanomedicine characterization and to study their interaction with cells (e.g. uptake, intracellular
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NeuroAI of Developmental vision (m/f/x) to work on: The Curriculum of Sight - How Visual Processing Develops in Brains and Machines. For animals, it is imperative to learn as quickly as possible. To do
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, with the ultimate goal being the development of forest resilience mapping. The work will combine existing forest plot and remote sensing data to assess functional diversity and resilience and apply