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for their expression in plant colonizing bacteria and integrating them into the chromosomes of appropriate chassis. Control systems will be designed to restrict expression to target plants and ensure optimal expression
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Researcher to join an interdisciplinary team working on a theoretically informed, participatory, implementation study (OPTIM-I), aiming to optimise the use of professionally trained interpreters (PTI) in
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Researcher to join an interdisciplinary team working on a theoretically informed, participatory, implementation study (OPTIM-I), aiming to optimise the use of professionally trained interpreters (PTI) in
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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national and international partners Maintain, calibrate and troubleshoot high-end mass spectrometers with a focus on GC-HRMS and Orbitrap analysers Develop, optimize, and validate analytical GC-MS and LC-MS
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inland, short-sea, and high-seas shipping routes. The project seeks to deliver industry-relevant tools that enable optimal design and operation of greener vessels, backed by real-world demonstrations
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• Uncertainty quantification around LLMs • Constrained optimal experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing
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skills and experience in written, spoken, and collaborative work in English. What we offer: A career path optimized for transition to industry. You will be affiliated with the dynamic Aalto Scientific
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in at least two projects related to scale up and optimization of biomass valorization processes from wood and agriculture feedstocks for textiles and packaging applications. The portfolio of projects
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Associate, you will develop AI-enhanced Digital Twins for solar energy systems, enabling real-time monitoring, predictive maintenance, and performance optimization. You will design modular architectures