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, machine learning, and statistical methods for time-series forecasting in the electricity sector, including demand, renewable generation, and market prices. Development and evaluation of point and
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in the context of renewable energy systems. REQUIRED PROFILE National, foreigner and stateless candidates holding a PhD degree in PhD in PhD degree in Industrial Engineering and Management, Mechanical
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TRAINING: This work will start with a study on controlled data sharing methods in federated environments. Existing solutions will be tested for creating data spaces that align with the technical and
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the hydrodynamics of offshore structures and ocean energy converters using specialised software. he researcher will also conduct physical scale modelling and experimental analysis in ocean basins, and apply machine
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extensive experience in biomedical data processing to mobile and wearable systems for workers in hazardous areas. This position aims to research and develop methods for processing occupational health data
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insurance, supported by INESC TEC. 2. OBJECTIVES: • Research novel deep learning models for anatomically structured EGGIM estimation.; • Develop methods for image-level and examination-level reliability
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documentation. ; Organization, validation, storage and traceability of cruise metadata and robotic mission datasets. ; Development of methods for associating sensor data with vehicle navigation, time, mission
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of communication interfaces between perception, planning, and control modules; • Definition of safety, supervision, and operation shutdown mechanisms.; ; 3. Development of the perception system; Methods will be
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are enrolled in non-award courses, or up to four years, in the cases of students enrolled in a PhD. Scientific advisor: Filipe Neves Santos Workplace: INESC TEC, Porto, Portugal Maintenance stipend: 1359.64
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hydrophone arrays and Distributed Acoustic Sensing (DAS) technology.; The objective is to develop methods for acoustic event detection, segmentation and selection of intervals of interest, Time Difference