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, developed in association or cooperation with one or more R&D units; this requirement must be duly verified at the time of hiring. Note: In the case of masters who are enrolled in non-academic degree courses
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of high-efficiency, compact, and reliable solutions. Candidates with relevant R&D work experience will be considered. The project supervisor will provide on-the-job training on simulation tools. Key
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Teaching (R&T) Where to apply Website https://academicpositions.com/ad/university-of-nottingham/2025/research-fellow-… Requirements Research FieldAnthropologyYears of Research Experience4 - 10 Research
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the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation
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environments for statistical analysis (e.g., MATLAB, R, or Stata); · Creating and managing very large datasets; · Machine learning skills. Basic Qualifications A Ph.D. in any business discipline
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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analysis (especially R, Stata, Julia, MATLAB, or Python) An enthusiasm for empirical research and an interest in pursuing a PhD in economics or related fields (e.g., public policy) An ability to work
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Pharmaceutical Sciences or Biotechnology areas or enrollment/attendance of a non-degree course taught by a higher education institution in conjunction with an R&D unit; - Proven competences in the production and
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statistical packages, especially R and SPSS Good statistical knowledge and skills Good IT skills (i.e., Microsoft Office®) Strong ability to work within a multidisciplinary team Strong interpersonal, written
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to the Sustainable Built Environment (SBE). The SBE team focuses on building energy modelling and simulation, decarbonization strategies for the built environment and R&D of green building technologies such as HVAC