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are seeking a Sr. Financial Analyst who will perform complex analysis and planning to assist management in establishing and controlling budgets, setting financial goals, making projections and meeting fiscal
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subsystems into high-power high-voltage converter systems. Prepare comprehensive technical documentation, including design/test reports, control models, test results, and source code. Work closely with cross
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and machine learning based analyses including predictive modeling and real world evidence generation. Basic Qualifications: MS in computer science, biostatistics, biomedical informatics or related field
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project reporting and compliance requirements. • Architect and maintain cloud-based ML environments (e.g., Azure, AWS, Databricks) including governance, role-based access control (RBAC), MLOps best
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on building dynamic system models for both the energy conversion technologies and the greenhouse climate, integrating these into a unified framework suitable for state estimation, predictive control, and
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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learning, generalization/robustness and privacy aspects in scalable learning algorithms. Large‑scale optimization and control: Optimal control, model predictive control and other optimization‑based control
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breed x system interactions. Including e.g. milk-based parameters according to other WPs, production system specific early prediction models for the control of endoparasites will be developed
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Marie-Skłodowska-Curie Action (MSCA) grant on WindConnect project. The project The WindConnect (wind farm control and integration in sector-coupled power systems https://cordis.europa.eu/project/id
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offer a deeper analysis of this class of stochastic processes concerning their stochastic and statistical analysis and to propose some non-Gaussian stochastic models, based on (generalized) Hermite