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range of different scientific methods, from energy system modelling and agent-based modelling, to remote sensing, econometrics and surveys. Our aim is to advance challenge-driven scientific excellence by
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background in individual- /agent-based modelling Experience with modelling of animal energetics Strong R and Netlogo skills Good understanding of movement & population ecology Experience in publishing
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. Mentor and project matches will be based upon your academic experience and professional interests. At the end of your internship you will be expected to prepare a slide presentation based on your
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interact with other teams, in particular System engineering. Your objective during this internship is to get acquainted and implement Model Based System Engineering (MBSE) methodology to develop EGNOS (sub
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as well as international collaborating teams. This position involves tasks where exposure to biological agents may occur. Upon employment, health surveillance will be carried out in accordance with
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will be required to identify opportunities for technology and process innovation with a focus on developing and deploying multimodal AI/Gen-AI models, AI Agents, and AI-based software systems for content
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meaningful, data-driven models of disease processes, including stratification. The project will also explore the combination of data-driven and knowledge-driven approaches through multi-agent simulation
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Position Details Position Information Recruitment/Posting Title County Agent III (Assistant Professor) - Vegetable IPM State Program Leader Department Agriculture & Natural Resource Salary Details
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make data-driven insights reliable, interpretable, and impactful? Do you want to contribute to the next generation of statistical modeling for AI and data science applications that benefit society? Job
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) Based on the score of their academic qualifications. VII.VIII - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury