82 augmented-workers-using-smart-robats-in-manufacturing-cell Postdoctoral positions in Netherlands
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- University of Groningen
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Germany to also conduct case studies there. Contribute with the integration of the CCUS data and optimization model into enerplanet - A framework for regional smart energy planning using volunteered
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the availability and reliability of critical and complex high-tech systems, like machines used in the semiconductor industry or industrial printing machines, intelligent diagnostics to identify faults is of crucial
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cells. Typically, the specificity, speed, and directionality of transport are tightly woven into the ordered structure of the pore which is characterized by a limited conformational flexibility
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for studying in vitro transport across the nuclear pore complex Job description The selective control of import and export across membrane-spanning pores is vital for our cells. Typically, the specificity, speed
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ever-growing need for innovative and sustainable food production technologies. Cellular Agriculture is an emerging technology where animal derived products are produced using cell culture technologies
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Postdoctoral researcher for single-molecule protein sequencing with origami nanopores Job description We aim to develop single-molecule peptide sequencing using biological nanopores. The research
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for single-molecule protein sequencing with origami nanopores Job description We aim to develop single-molecule peptide sequencing using biological nanopores. The research project will focus on developing
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: 12 September 2025 Apply now Join the faculty of Geosciences as a postdoctoral researcher! You will work on carbon turnover models and the fusion of data science forecasting methods with process-based
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: 12 September 2025 Apply now Are you a data scientist interested in designing and implementing process-informed machine learning and uncertainties quantification methods? Join us as a postdoc and work
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: 12 September 2025 Apply now Join the faculty of Geosciences as a postdoctoral researcher! You will work on carbon turnover models and the fusion of data science forecasting methods with process-based