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Field
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., Python, C++) Familiarity with ML algorithms, especially deep learning Experience in R&D or industrial projects carried out either in the context of research institutions or industry Testbed management and
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of technological tools. - Process and measurement automation with LabView or similar. - Tasks related to artificial intelligence and machine learning applications in health, wellness and sport. - Creation of Python
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the job profile (sections 2 and 3 of this annex), as well as to: Programming in Python Use of machine learning libraries: TensorFlow, PyTorch and scikit-learn Development of supervised and unsupervised
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well as to: · Previous experience and training in orbital robotics. · Robot simulation and programming for orbital environments. · ABB robot programming. · Programming in ROS, C, Python. · Research experience
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., Mask R-CNN, TensorFlow, Keras). Strong skills in Python and relevant libraries for AI and geospatial analysis (NumPy, Pandas, Matplotlib, QGIS). Involvement in digital heritage or 3D content platforms
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of sound and selection of these by computational means. Speech recognition and related tasks, including speaker classification and verification. Use and adaptation of speech recognition models. Python
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technical concepts clearly and collaborate effectively in a team environment. Demonstrated proficiency in scientific programming and deep learning frameworks, such as Python, PyTorch. Preferred Qualifications
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
Python or Java script familiarity with the following tools will be highly appreciated: Monfgo DB , React an dreact workflow, Google API´s, Pytorch Professional Experience: Programing in PYTHON/C languages
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able to program in python, R or a similar language Competences You have highly developed organization skills You have good communication skills The Offer – Working Conditions Contract duration: Technical