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, signal processing, machine learning, EEG analysis, computational neuroscience, regression modelling, uncertainty quantification, metrology, or measurement science. LanguagesENGLISHLevelGood Additional
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process is as follows: Those interested must access the website where the university publishes all the offers: https://talenthub.upc.edu/en/jobs/r2/r2-jobs/r2-jobs select the offer that is of interest
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Governing Competitions for Research Posts at IChF in Warsaw (https://ichf.edu.pl/files/intranet/o%C5%9Bwiadczenie_statement.docx ). The commission evaluates applications on a point scale (max 100 points
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magnetotransport). They will analyze device performance metrics such as output signal, switching speed, energy consumption, endurance, and scalability, and benchmark them against existing technologies (CMOS, MESO
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community (cryosphere, geophysics) with good knowledge of image processing and off-the-shelf AI tools, or from the signal/image/AI community with experience in applications related to Earth observation
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this the selection criteria. Selection process The planned selection process is as follows: Those interested must access the website where the university publishes all the offers: https://talenthub.upc.edu/en/jobs/r2
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as Postdoctoral Researcher with Professor Róisín Dwyer’s team in the Discipline of Surgery at the University of Galway, Ireland. This position is part of the Precision Oncology Ireland (POI)-2 Network
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Research Associate to join ongoing NIH-funded projects in Immune signaling, chemical proteomics, and bioinformatics. The Chowdhury Lab integrates chemical crosslinking, mass spectrometry–based proteomics
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machine learning models directly on these edge devices for real-time anomaly detection and identification. You will develop robust signal acquisition and processing pipelines, translate research-grade
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
); Relevant research experience in at least one of the following: Social Robotics, human-robot interaction, human-computer interaction, Machine Learning, Affective Computing, Social Signal Processing, Computer