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Field
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position We invite applications for position as PhD Research Fellow in Multisensory Networked Interactions with Robotics Avatars available at Department of Informatics. The fellowship period is three years
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, computer/data science or relevant topics in other fields. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defence are
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/RBi_Republicado_2025.pdf Preferential factors: Have a MSc in Electrical and Computer Engineering or similar areas. Be enrolled in a PhD programme or in a non-degree programme. Language skills - proficiency in English
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, their fabrication and characterisation in order to be translated to industry with our partners. This includes laboratory experimentation, critical evaluation and interpretation, computer-based theoretical modelling
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. Certificates/Credentials/Licenses Computer Skills Academic and research software relevant to job duties (Linux operating system, Gaussian/ORCA, AMBER/OpenMM, coding skills in Python). Supervisory
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advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Experience assembling, organizing, and analysing large
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degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image
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and interns involved in related projects. Collaborate with industrial and academic partners. Perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer
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interaction. As a Research Fellow you will hold (or be close to completion of) a PhD in signal processing, computer music, human-computer interaction (HCI), computer science, artificial intelligence, electronic
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Research Fellow (Software, AI & Autonomous Systems) Required Qualifications PhD in Robotics, Computer Science, Artificial Intelligence, Electrical, Computer Engineering, or related disciplines. Key