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Field
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to these challenges, working with high performance and distributed computing environments, working with large-scale machine learning models, and a proven research record of scholarly contributions through publications
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novel sensing approaches to combine with machine learning algorithms to solve real-world problems in food manufacturing. You will have sound knowledge in electronic engineering, embedded systems design
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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neurológicos; Cribado y evaluación del párkinson; Machine learning confiable y robusto; intepretabilidad y equidad de la inteligenica artificial; Procesado de señal. Señal radar
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well as new projects. The position may additionally involve implementing data analytics, including machine learning. The successful candidate will have a Ph.D. or equivalent degree in Bioengineering
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, machine learning and biophysics. Investigators at CFIN are supported by state-of-the-art research facilities, including MRI, MEG, OPM-MEG, EEG, PET, TMS, eye-tracking and more. CFIN is part of the Danish
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publication record. • Experience with VA and NIH-funded research projects is highly desirable. • Proficiency in advanced data analytics, machine learning, and statistical modeling. • Excellent communication and
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protocols. High degree of computer literacy. Excellent organization skills and ability to prioritize a variety of tasks. Careful attention to detail. Ability to demonstrate professionalism and respect
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Your Job: In this position, you will be an active part of our Simulation and Data Lab for Applied Machine Learning. Within national and European projects, you will drive the development of cutting
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statistical methods; will seek out and learn new methods to better solve problems > Experience with modern AI techniques and methods or desire to work on Applied Machine Learning Problems > Constantly questions