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this context. Already enrolled in a PhD programme. Minimum requirements: Knowledge of mathematics, machine learning, proficiency in programming languages including Python, C/C++. Experience with machine learning
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engineering, computer science, applied mathematics, computer science, or similar Minimum profile required: - Basic knowledge in the development of APIs; - Knowledge in the Python programming language; - Fluency
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required: Knowledge in areas associated with Industry 4.0 and 5.0 concepts, particularly in the digitisation of processes and companies, in sub-domains associated with sustainability and circularity and
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insurance, supported by INESC TEC. 2. OBJECTIVES: - broaden knowledge of the state of the art in the specific scientific area of the scholarship - identify and select the appropriate methods for the study in
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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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operators and energy pilot communities, evaluating performance, usability, and the impact on operators' cognitive load. 4. REQUIRED PROFILE: Admission requirements: Electrical and computer engineering
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' supervision experience; activities of knowledge dissemination, and management of science activities over the past five years - considered by the candidate as more relevant or with greater impact. - Copy
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TO BE PERFORMED Coordination and implementation of R&D projects and knowledge enhancement, preparation of R&D project applications, team management and guidance of junior researchers, scientific
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. Preparation of technical documentation for all activities. Minimmum requirements and qualifications: Electrical engineering, computer science, applied mathematics, computer science, or similar. Basic knowledge
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languages, including Python, Go, and Rust; - Experience with observability tools.; Minimum requirements: - Solid Knowledge of operating systems, including kernel structures; - Proficiency in the C programming