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. The aim of the project is to identify the mechanisms underlying spatial summation of pain and to develop models explaining how nociceptive stimuli are integrated by the nervous system. The project involves
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of the research process and the results obtained. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Co-develop the requirements for optimization models, taking into account solar assets, EV chargers, and
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; • Implementation, configuration and testing of frameworks and tools in remanufacturing testbed use cases, including their integration with simulation models and Digital Twins; • Contributing to the development
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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Develop decision-support models for planning, scheduling, and supply chain management using advanced Operations Research, optimization
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FieldMathematicsEducation LevelPhD or equivalent Specific Requirements - Master's Degree (Laurea Magistrale) in Mathematics (LM-40) or in Mathematical-Physical Modeling for Engineering (LM-44); or a Specialist Degree (Laurea
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 2 months ago
LevelMaster Degree or equivalent Skills/Qualifications Master's degree in Geography or related fields; Enrollment in a PhD programme in Geography or related fields; Experience in GIS, Spatial Modelling, and
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real-time optimization algorithm for a simulated moving bed system to correct possible mismatches between the mathematical model and the real process. The approach to be developed is based on modifier
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Information Management, or related fields; Have basic knowledge of machine learning models in supervised and unsupervised learning tasks (i.e., k-nearest neighbours, Decision Trees, Neural Networks, Logistic
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TEC. 2. OBJECTIVES: - Broadening knowledge of the state of the art in the specific scientific field related to the fellowship; - Developing models and supporting the implementation of multi-aspect use
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of participatory models based on the integration of qualitative and quantitative spatially-referenced data for the co-design and evaluation of nature-based solutions.” Where to apply Website https