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(molecular) phenotyping methods to screen transcriptional activity of synthetic promoters in planta. You will unravel the cis-regulatory code controlling context-dependent gene expression and use
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potential lends itself to this. Required profile: · With a PhD in physics or mechanical engineering, the successful candidate will have acquired solid skills in the mathematical and numerical methods
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. Qualifications Qualification requirements PhD in a relevant field before commencing the position, such as psychology, computer science, and biostatistics. The applicant must have submitted their PhD thesis
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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. They will also help coordinate and implement future field campaigns to fill key field data gaps. Additionally, the successful candidate will be responsible for advancing cutting-edge methods for quantifying
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/proteomics. We value lab members who are highly collaborative but can also independently develop and guide research projects. Qualifications MINIMUM QUALIFICATIONS: PhD, M.D., or M.D., Ph. D (or equivalent
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to: Relevance of background experience. Passion for research and scientific discoveries. Proficiency in written and spoken English. As a formal qualification, you must hold a PhD degree (or equivalent). We offer
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, analysis, and optimization. The goal of the project is to develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other
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PhD thesis. If you choose a publication with multiple authors, please also explain your own contribution Early application is highly encouraged, as the applications will be processed upon reception
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and