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our website: https://www.list.lu/ How will you contribute? The Luxembourg Institute of Science and Technology (LIST) is seeking to recruit a two-year postdoctoral position to work on the fabrication
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Temporary contract | Up to 24 months| Belval Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a leading Research and
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the project RIBOTICS (RNA Origami Technology in Cell Systems) funded by an Advanced Grant from the European Research Council (ERC). The intended starting date is 01st September 2026 or as soon as possible
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technology to real-world conservation challenges, working directly with data that informs habitat management and biodiversity protection. Expected start date and duration of employment This is a three year
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from MicroCorr, a next-generation imaging platform integrating confocal laser scanning microscopy and Raman microscopy, enabling combined structural, functional, and live/dead-resolved single-cell
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the project RIBOTICS (RNA Origami Technology in Cell Systems) funded by an Advanced Grant from the European Research Council (ERC). The intended starting date is 01st September 2026 or as soon as possible
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Aarhus University is seeking two postdoctoral fellows for the Novo Nordisk Foundation CO2 Researc...
fluxes and quantitative modeling thereof. It also includes the isolation of new alkalophilic and hydrogenotrophic methanogens and acetogens, as well as Knallgas bacteria, the construction and quantitative
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our publications here . Our team is at the forefront of bringing autologous cell replacement therapies with CRISPR-edited muscle stem cells towards the clinic (https://www.mdc-berlin.de/news/news/deep
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techniques to monitor protein-protein interactions and prior knowledge of these is an advantage. Your profile The applicant must have a relevant PhD in structural biology or protein biochemistry. Who we
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https