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scientific and professional curriculum such as: Knowledge in the topic of the position they apply to. Programming experience in C, Java and Python environments. General call admission requirements include
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professional curriculum such as: Knowledge in the topic of the position they apply to. Programming experience in C, Java and Python environments. General call admission requirements include those specified in
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suitable scientific and professional curriculum such as: Knowledge in the topic of the position they apply to. Programming experience in C, Java and Python environments. General call admission requirements
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marine life support systems and autonomous scuba diving, as well as in programming with Python and R. Experience in animal behaviour and biostatistics. Participation in research projects in the fields
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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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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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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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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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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