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/uploads/2024/02/Tabela-de-Valores-SMM_atu… ), paid via bank transfer. Grant holders may be awarded potential supplements, according to a quarterly evaluation process (Articles 19, 21 and 22
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Pose EstimationStrong background in computer vision and machine learning applied to pose estimation and visual servoing; Experience with OpenCV, PCL (Point Cloud Library), PyTorch/TensorFlow, and 3D
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analytical logistics problems. The candidate will participate with the project's research team in: (a) studying scientific literature in areas of interest; (b) developing and implementing processing and
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research hypothesis is that benthic and demersal fish produce and respond to vibrations. When signalling fish contact a substrate, they generate different types of mechanical waves that propagate through
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hypothesis is that benthic and demersal fish produce and respond to vibrations. When signalling fish contact a substrate, they generate different types of mechanical waves that propagate through both the water
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recipients / Admission requirements (indicate mandatory and preferential requirements): Any National, foreign and stateless candidate(s) that fulfill the necessary conditions to be enrolled in a non-academic
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 25 days ago
of the award of the fellowships under this Call for which, according to the point “Application deadline and submission” of this Call, the candidates must submit in the application process a Declaration
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biomedical image and signal processing; Previous experience in computer vision; Minimum requirements: Degree in Computer Science, Informatics Engineering, Data Science, Bioengineering or Applied Mathematics
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for applications is required, in the contracting phase, including those resulting from academic degree recognition processes. Preferred factors:Training in Project Management. Knowledge in conducting, collecting and
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: Industrial Electronics and Computer Engineering - Control, Automation and Robotics Recipient category: Masters, enrolled in the course: Non-conferring degrees courses: is intended for R&D activities by