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the award of one Research Grant within the scope of the project POOLWISE – 18327 – Salt Water Pool Optimization with Integrated Sustainable Elements, funded by COMPETE2030-FEDER-01456000, under the following
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management. Responsibilities: 1. Structure-guided engineering and optimization of novel proteins 2. Extensive characterization of proteins both in vitro and in vivo, including Cryo-EM 3. The use of advanced
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, including benchmarking and validation Publication of results in journals and conferences Where to apply Website https://apply.refline.ch/673278/3832/1m.u7qjgjKjzKmrHRvMb9SUuweUMUm96yz1qOEhI4Z… Requirements
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the team of the NAMIC Project for 3DP Ship Hull Design. The Research Engineer will play a critical role in the development, validation, and optimization of 3D-printed Ship Hull and Connector System
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the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in the Bachelor’s degree must
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the Norwegian educational system The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All
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(R1) Positions PhD Positions Application Deadline 27 Jan 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Not Applicable Job Status Not Applicable Hours Per Week 35 Is the job funded
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communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html
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of Singapore (NUS) Department of the Built Environment (DBE) invites applications for a full-time Research Fellow to drive R&D in carbon management and optimization within the built environment. The successful
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Information , Data Visualization , Deep Learning , High dimensional Data , Large Language Models , Large Scale Optimization , Machine Learning , Natural Sciences , Public Interest Tech Computational Biology