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receivers, correlators, signal processing technology, and antenna design; and UV/optical/near-IR instrumentation such as adaptive optics, precision mechanics and detectors. Our instrument development
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of the proposed solutions. Activities will include the implementation and evaluation of algorithms for signal processing, detection, correlation, localization, and tracking of acoustic sources, as
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knowledge of machine learning models and Python tools for signal processing and machine learning. General knowledge of system architecture and APIs. Previous knowledge of physiological signal processing. 5
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infrastructure and surrounding terrain. The work can include physics-based modelling of e.g., various events and wave propagation through different media, signal processing, large-scale data analysis, algorithm
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producing reports and scientific papers. Minimum requirements: Knowledge of digital signal processing, data analysis, and signal or data compression methods; Knowledge of mathematical and statistical signal
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on the date specified in Point 6 of this Call. Preferred qualifications: Proficiency in English and experience with 3D geological modelling using Leapfrog Geo (Seequent software). LanguagesENGLISHLevelExcellent
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systems. Publication of an article in a journal within the scope of this work. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Application of signal processing techniques for feature extraction in
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Institution in the academic year 2026/2027 or a declaration on honor containing the same information as described in point 2. Procedure of submission of applications: Applications must be sent by email to
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 2 months ago
of paragraph b) of the point “Applications eligibility requirements”); - Other documents considered relevant to the evaluation process. *Candidates with degrees obtained abroad must present the proofs
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Institutions. Preference factors: Previous experience in biomedical image and signal processing; Previous experience in computer vision; Minimum requirements: Degree in Computer Science, Informatics Engineering