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Field
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background: ability to deal with large datasets using computational methods, proficiency in R or other applicable software packages, ability to develop scripts for R and Echoview, and statistical modeling
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: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine learning and artificial intelligence models focused
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science » Global change Researcher Profile First Stage Researcher (R1) Country France Application Deadline 14 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
management. Demonstrated research excellence through peer-reviewed publications. Experience with programming languages and software platforms relevant to Digital Twin development (e.g., Python, MATLAB, Revit
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, limnology or related fields. Strong quantitative background: ability to deal with large datasets using computational methods, proficiency in R or other applicable software packages, ability to develop scripts
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develop and pursue a coherent research agenda The ability to develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including R
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Post Doctoral Researcher in Human-centred Large Language Models for Software Engineering, Departm...
adopted in real-world software teams. In relation to this specific postdoc position, the research entails the development of AI Agents to support software project management. The project will give you
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-specific to the Global South), such as digital colonialism, global inequalities, platformatisation, open-source software, peer-to-peer code, data justice and power in global governance, digital sovereignty
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 28-Oct-25 Location: Pittsburgh, PA Categories: Academic/Faculty Internal Number: 165919 The Software and Societal
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conferences and journals. Overview: The successful candidate will join an interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific