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, Databricks) including governance, role-based access control (RBAC), MLOps best practices, reproducible workflows, and CI/CD automation. Lead dissemination of scholarly outputs, publish in high-impact peer
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or TensorFlow. Practical background in training and validating models on GPU-based and distributed computing environments. Working knowledge of containerization tools and orchestration platforms (e.g. Docker
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controls. Creates financial management models for establishing financial analytics and forecasts. Responsible for regular, internal financial reporting to unit and University leadership. Develops financial
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with different control technologies, such as developing a typical grid-following type-4 wind turbine generator (WTG) simulation model, and a grid-forming type-4 WTG model without or with an energy
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command of written and spoken German and English; English publishing experience Excellent team and organizational skills We Offer Meaning: We offer meaningful work for the world of tomorrow. Our internal
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candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through
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background in multivariate statistical analyses (e.g. R or comparable software) Proven experience in GIS-based spatial analyses Experience in species distribution modelling Track record of peer-reviewed
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/hacohen19a.pdf [4] Roh et al., FairBatch: Batch Selection for Model Fairness — https://arxiv.org/pdf/2012.01696 [5] Ren et al., Learning to Reweight Examples for Robust Deep Learning — https://arxiv.org/pdf
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quantum control without relying on detailed system models. In this project, you will develop RL and other machine earning-based methods to control superconducting qubits using measurement feedback. The work
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, but not limited to, university-owned computers and software and ULID account and password issues. Additionally, you will be assisting in property control, diagnosing, and recycling hardware from all