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-computer interfaces, audio signals for keyword spotting and artificial cochleas, and tactile signals for robot perception. Various types of bio-inspired mechanisms have been investigated in recent years
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, and related fields (e.g., Graph Machine Learning) Tasks: scientific research in at least one of the above-mentioned research areas collaboration in national and international research projects, possibly
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requirements Essentials: Basic knowledge of power systems and machine learning/AI. Completed an MSc degree in a highly technical related discipline (computer science, electrical engineering, etc.) and you were
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Are you an experienced researcher in microbial genomics and bioinformatics with a strong record of university teaching, and expertise in whole-genome sequencing (WGS) analysis, machine learning and
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diversity methods, data management, reproducible code, R/Tidyverse, machine learning and AI for ecologists, visualisation, evidence-based policymaking, science-policy communication, and policy brief writing
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Application: We are looking forward to receiving your online application. The full, legally binding call for application (in German) including the salary can be found here: https://lfuonline.uibk.ac.at/public
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generation of experts skilled in the combination of Operation Research and trustworthy Machine Learning. CoRDS goes beyond the state-of-the-art DDO methods by proposing decision support frameworks that combine
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. We are seeking passionate individuals who are committed to making a meaningful impact through collaboration, innovation, and excellence. To learn more about our mission and work, please visit https
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, but to drive innovative research and achieve decisive progress. Further details on NCCR Genesis are available on its website https://nccr-genesis.ch . Job description The successful candidate will
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modern machine-learning techniques, will be exploited to improve the discrimination between the different polarization states. The analysis will use the complete Run 2 and Run 3 datasets collected by