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drive iterative optimization of RNA switch designs toward therapeutic translation. What you bring: You hold a PhD in molecular biology, biochemistry, or a related field and have strong hands-on experience
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physiology immunofluorescence, confocal microscopy, cell and organ culture techniques, and gene expression analysis. Key Responsibilites Develop, optimize, and adhere to experimental protocols. Conduct
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to macroscopic performance optimization. Discipline, including, but not limited to: Materials Science and Engineering, Materials Engineering, and Nanotechnology. Major Responsibilities The successful candidates
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chemistry Chemistry » Other Chemistry » Physical chemistry Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 31 Mar 2026 - 00:00 (Europe/Brussels) Country Poland Type
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engineering Researcher Profile Established Researcher (R3) Positions PhD Positions Application Deadline 10 Feb 2026 - 23:59 (Europe/Brussels) Country Poland Type of Contract To be defined Job Status Full-time
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protocol optimization. Collaborate with supervisors and team members to plan experiments and align work with project goals. Compile documents and assist with interpreting presentations or reports stemming
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the identification of optimal leaching conditions and expand the range of metals that can be processed using GLT. The work will involve integrating and evaluating machine learning techniques, with a focus on
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» Electronic engineering Engineering » Electrical engineering Technology » Information technology Technology » Transport technology Researcher Profile Established Researcher (R3) Positions PhD Positions
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individual medical students and provide a learning prescription for success. Lectures and Small Group Teaching to medical students regarding strategies to optimize academic/clinical medical school performance
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architectures. This includes among other: (a) design and implementation of machine learning and GenAI models, (b) efficient training and inference on GPU-based systems, (c) fine-tuning and optimization of large