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to the following: Enhancing Tsetlin Machines with continuous learning mechanisms for real-time IoT data adaptation without memory loss. Automating hyperparameter optimization for Tsetlin Machines to efficiently
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production, sediment traps, grazing, in situ growth-rates, etc) Desired qualifications: Experience with research on marine plankton ecology, with an emphasis biological carbon processes and mechanisms Ability
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novel mechanisms in cancer development that can be targeted with novel cancer therapy. One of the main research aims of the group is to better understand the regulation of autophagy. The candidate will
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these tools to study gene regulatory mechanisms pan-cancer. The project aims to experimentally validate recent findings on transcriptional dysregulation associated with cancer outcome, and use these findings
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in relevant fields of science or engineering, for example: energy engineering, mechanical/chemical engineering, electrical engineering, computer science or discipline closely related to the main duties