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monitoring of biomolecules. In this PhD project, you will explore a novel direction: you will study how nanoswitch sensors can be designed for the continuous monitoring of complex nucleic-acids with dynamic
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
approaches for high-speed manipulation using compliant robotic systems. The research objectives include: Developing computationally efficient dynamic models suitable for control. Designing and implementing
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fully understood. In this context, we developed an original model where the IPLS, the intrinsic propensity of genomic loci to initiate replication, together with fork progression dynamics, fully
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following rehydration The position is affiliated with the research group led by Dr. Stefanie Rosa at the Department of Plant Biology, SLU, Uppsala. Our group studies how chromatin organisation and dynamics
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researchers with cutting-edge expertise in combustion science, chemical kinetics, fluid dynamics, and digital modeling, preparing them to revolutionize industrial energy systems and accelerate Europe’s energy
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to grow your career and thrive in a dynamic creative work environment where imagination and energy are at the forefront of everything we do? We are seeking applicants for Part-Time position for candidates
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to grow your career and thrive in a dynamic creative work environment where imagination and energy are at the forefront of everything we do? We are seeking applicants for Early Years Practitioners roles
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PhD candidate within the VAPOD research project. The project aims to investigate the temporal dynamics of sustained attention and its determinants. The research will involve prolonged vigilance and
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also offer to work in a stimulating, young and multicultural environment, and to be part of a dynamic and growing research team Selection process https://www.upm.es/Investigacion/HRS4R/HRS4R/Seleccion Se
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for the sustainable management of tropical tuna fisheries worldwide. In representing complex population and fishery dynamics, assessment models rely on simplifying assumptions about biological processes, spatial