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also offer flexible working, discounted Giraffe crèche services of up to 20% and a Parents and Carers’ Network. Financial Security: Benefit from automatic enrolment in a pension scheme with Willis Towers
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Medicine (https://www.irem.uzh.ch/en.html) combines cutting-edge stem cell and bioengineering research to advance regenerative therapies. Based on bio-inspired principles and novel biomimetic technologies
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sequencing instruments into microscopes! Your mission You will join our team, a leading group in the field of DNA nanotechnology specialized in creating molecular tools for life-science research (http
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research program, NANAQUA DCs will focus on nano(functionalized) materials that are redefining the possibilities for safe, efficient, and sustainable water treatment solutions. Where to apply Website https
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movement observations and analyses (DTOTrack, DTO-Bioflow); 2) help maintain the Belgian Permanent Acoustic Receiver Network and assure efficient dataflow towards the European Tracking Network database; 3
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biology. The project aims to uncover how mechanical properties, forces, and physical phenotypes integrate with molecular networks to regulate the function of complex cellular systems across multiple
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an optimised way. This may include neural network and neural mass modelling of large-scale brain activity during and after stimulation, and experimental tACS in healthy participants. The successful applicant
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About the role We are looking for a Senior Communications Engineer to join our established Network Communications Team. The team (consisting of Datacentre Network and Security, and Edge Network and
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
generation of wireless communication (6G) to extend network coverage, supporting diverse data-intensive applications such as immersive extended reality and autonomous systems. However, aerial 6G networks will
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instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Netwon`s method. In particular, we aim to develop a neural network architecture that will allow us