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, mechanical, and chemical sensors including sensor characterization and testing is a plus • Experience with electronic devices manufacturing processes is a plus but not required • Excellent academic
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economical route Visa application fees For more information about research opportunities, application processes and the reasons to consider study at the University of Melbourne, see the Graduate Research Hub
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express confusion or cognitive strain, EEG signals will be used to assess cognitive state, such as workload and attention, in real time. These signals will feed back into the system, enabling adaptive
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procedure To be considered for this award, candidates should submit a complete PhD application by 21 February 2022 and indicate that they wish to be considered for this particular funding opportunity
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Signals in Cancer” (Head: Prof. Dr. med. Jürgen Ruland) is to (i) explore the molecular mechanisms and pathways that drive immune dysfunction and immunotherapy resistance, (ii) modulate cancer
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100%, 3 years) on DNA data storage. The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on
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signal strength can be observed at different locations. Co-located Wi-Fi access points sharing the same spectrum compete against each other rather than collaborate to serve users. In this PhD position, you
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Max Planck Institute for Plant Breeding Research • | Koln, Nordrhein Westfalen | Germany | about 9 hours ago
sciences with expertise in molecular plant genetics, plant biochemistry, cell biology, bioinformatics, and mathematical modelling of biological processes. Details can be found at: http://www.mpipz.mpg.de
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must provide proof of excellent English skills: TOEFL 550 (paper-based), 213 (computer-based), 79 (Internet-based) or equivalent. Application deadline The application deadline has not yet been determined
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experience in Image Processing and Signal Processing or the use of Image Processing Output to assess disease phenotypes and epidemiological relationships. Proficiency in a statistical analysis environment