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the relevant union. The period of employment is 3 years. With the possibility for extension or conversion to a Tenure Track Position. The position is full-time, and the expected starting date is 1 May 2026 You
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. The objective is to develop models and algorithms that capture spatial variability, uncertainty, and communication constraints, and to understand how these factors influence perception, adaptation, and
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CFD workflows and Lagrangian particle/cell tracking to extracting actionable insights with statistical learning and AI/ML—ultimately enabling more robust scale‑up, smarter process control, and faster
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current focus areas cover large-scale structure of the universe, physics of compact objects, exoplanets, upper atmosphere physics and cosmo-climatology as well as development of instrumentation, in
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technologies. Analyze and evaluate WGS data to support research and capacity-building objectives, including participation in external quality assessments and genomic proficiency tests. Providing bioinformatics
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and/or nanofabrication being a plus. Who we are The Department of Physics and Astronomy is a department on Natural Sciences. The main objectives of the Department are to carry out research
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) This position centers on directed laboratory evolution of defined microbial communities under controlled bioelectrochemical conditions. You will run evolution experiments with constructed consortia, track
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Engineering, or a closely related discipline. We seek a highly motivated and independent researcher with a strong background in organic synthesis and reaction engineering, and a demonstrated track record of
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the University of Sheffield. Responsibilities Your main responsibility will be to implement a unique ultrafast spectroscopic method able to track the dissipation processes in quantum emitters induced by
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
expertise (either through education or publication track record) in Natural Language Processing and programming Regardless of disciplinary background, applicants must demonstrate: Advanced competence in