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to define mechanistic models of enzyme function. Design and execute independent research projects within the broader goals of the lab. Prepare manuscripts for publication and present research at national and
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Institutions; identifies and selects problems to be studied; develops and troubleshoots new experimental techniques and protocols; attends research seminars; contributes to manuscript preparation and supports
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these therapeutics to the right organ with the right dose. Our research performance involves developing novel and innovative drug delivery technologies that can carry proteins, RNAs, or gene editors to the target
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 1 month ago
-mission, will feature an island divertor and aims to have sufficient island control and flexibility to provide for robust physics studies required to develop a detailed understanding. Two postdoc positions
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced
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The Postdoctoral Research Associate will conduct advanced research in salinity gradient (“blue energy”) harvesting and vibration-based energy harvesting, focusing on developing next-generation self-powered sensing
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exercise programs and release time Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences, workshops, and more
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, MICADO and METIS. Our group develops and maintains custom-written software that will simulate, process, validate, and store data from some of the most advanced astronomical instruments ever to be built
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years to work in a multi-professional international team with automatization of radiotherapy treatment planning. Description of the project The project aims to develop methods for automated dose planning
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programme focused on applying AI‑driven analysis to in situ advanced microscopy of fibre‑based materials. The project aims to develop and deploy machine learning tools that extract real‑time structural and