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Potentials (MLIP), machine learning (ML) predictive models and AI tools. Activities : Computer science implying ML and AI tools applied to material science Where to apply Website https://umontpellier.nous
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), microwave engineering, hardware systems (detector setups, electronics, and NMR), or programming for data analysis and system modeling is a plus. Application Instructions Please upload the following materials
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Computer Science (EECS)/Energy Systems Innovation Center (ESIC) to develop high-fidelity grid-forming inverter models and high-voltage direct current (HVDC) models, and investigate their impact on the power
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-dimensional documentation and recording of archaeological materials and structures using high-precision 3D scanners and in processing digital models. • Track record of scientific publications in prehistoric
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, ). Biochemistry, cell biology, genetically engineered mouse models and patient-derived organoids / xenografts will be employed in the study. Successful applicants will be a highly motivated individual with a recent
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are still not exploited to their full potential. The CROPWAVES project aims to contribute to better future food security by improving global-scale crop and climate models through the integration of satellite
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designing and conducting MR experiments, developing pulse sequences and experimental methods, modeling spin dynamics and relaxation, analyzing data, and interpreting the underlying physical mechanisms
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of agentic AI systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine physics-based modeling, machine
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into an eco-epidemiological network modeling framework and optimization function. 2. Stakeholder Engagement & Focus Group Co-Facilitation (30%) ● Design and lead focus groups, expert elicitations, and workshops
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Yale School of Medicine - Department of Genetics | New Haven, Connecticut | United States | about 2 months ago
lineage-tracing mouse models, lung injury and tumor-initiation systems, single-nucleus multiome (RNA and ATAC) and spatial profiling, and validation in human early-stage lung adenocarcinoma specimens