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and Artificial Intelligence, as well as knowledge of programming languages and libraries such as Python, OpenCV, PyTorch, TersorFlow or similar. 3. Project Objectives: The work to be carried out
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libraries such as Python, OpenCV, PyTorch, TensorFlow or similar. 3. Project Objectives: The work to be carried out consists of supporting the implementation of the work foreseen in the IA project: INSIGHTS
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Python – information provided in the CV and/or motivation letter; c) Processing and visualization of large files (NetCDF) – information provided in the CV and/or motivation letter. Contracting requirements
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requirements: A preference will be given to individuals able to work in statistical software such as Matlab, STATA, Python or R. Research interest and research experience in the aforementioned scientific fields
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similar area The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Knowledge of Python
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of Python programming. - Development of IT tools for use in real environments. - Knowledge of simulation methodologies. Minimum requirements: Past experience (or academic training) in Artificial Intelligence
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: Advanced knowledge of a programming language (e.g. Python, C++). 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic
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fields. Additional optional skills and qualifications: Knowledge of coastal geology. Knowledge and experience in programming with Python and in GIS. Availability and motivation to participate in field
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data processing in Stata, R, or Python. Experience in conducting interviews and surveys, with familiarity in Qualtrics considered an advantage. WORK PLAN: The post-doctoral fellow will work on a project
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AI-based solution in a real business environment to address the identified challenges. Another objective of the project is the development of an automated solution, written in Python, that allows