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you passionate about brain-inspired AI and sustainable tech? As a PhD Candidate, you will design real-time FPGA-based systems that mimic neural processes, enabling intelligent, on-chip learning for edge
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phage activation rate, will be described explicitly and left free to evolve in the model. This project runs parallel to and in close collaboration with experimental evolution studies of host-phage
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making a significant impact and driving innovation, please continue reading! Join our team! The Informatics Institute is looking for an ambitious PhD candidate. Your research will be part of the PCS group
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the laboratory, we will cultivate fermentative communities in parallel bioreactors, subjecting them to controlled variable selective pressures (https://m-unlock.com/parallel-cultivation-platform
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Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PhD student to conduct clinical PET/MRI studies in patients with chronic pain and
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, together with relevant expertise in areas related to Artificial Intelligence, such as: Foundational Models, Algorithmic Research Machine/Deep Learning Computer Vision Parallel & Distributed Computing Control
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parallel programming knowledge and experience. Basic understanding of deep learning methods is a plus You are proficient in English. Additional Information Benefits As a PhD student at UT, you will be
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or experiments, work towards an improved design and operation protocols to boost efficiency and output of the plant. In parallel, technological strategies and conceptual designs will be developed for improving
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efficiency and output of the plant. In parallel, technological strategies and conceptual designs will be developed for improving the final formulation of Caleyda® as powders and pellets, making them tuned
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studying multiple aspects of gene regulation in development and evolution. The aim of your PhD project is to study the effects of gene regulatory elements involved in evolutionary change using high