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the Electrochemistry Laboratory, we are looking for a PhD student. This project aims to understand the mechanisms of electrochemical oxidation processes for the removal of emerging contaminants in water and to develop
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Location: Hybrid working between home and Optimal Risk Reading Office Job purpose This role will lead the technical development of a Rural Crime Information Platform, integrating social media
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hardware and equipment to ensure optimal performance. The person will also troubleshoot problem areas (in person, by telephone, remote tools, or via email) in a timely and accurate fashion, and provide end
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bioeconomy, waste valorization, and microbial biotechnology. Tasks to be performed include: Design, optimization, and operation of innovative photobioprocesses, working within an international and
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applicable to the position: Developing, testing, and analyzing research related to chemical sensing technologies in water; designing, fabricating, and optimizing sensing platforms and functional materials
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scientific articles. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-ptgas-staf… Requirements Research FieldEngineering » Computer engineeringEducation LevelBachelor
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Fraunhofer IGD and the FBN team to safeguard an efficient collaboration and communication between behavioural biologists and computer scientists. The project is part of the KI-Tierwohl project (https://ki
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collection with clinical teams, and downstream processing and expansion of hNEC cells. Assist the SRF/RF in establishing, optimizing, and maintaining airway- and lung-derived organoid models for experimental
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initiatives & projects with a focus on continuous process improvement. Performs various administrative functions requiring basic knowledge of programs and services. Key Responsibilities: Provides positive and
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capture integration, environment design, and modular asset creation. You will support students in mastering the principles of technical efficiency and the practicalities of assembling and optimizing visual