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operating model and governance structure that ensures reliable service delivery, strong change control, appropriate separation of duties, and alignment with institutional priorities. In addition, the Director
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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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of large, cross-departmental initiatives. The analyst deploys data extraction, transformation, and loading (ETL) processes; classical statistical analysis; predictive and prescriptive modeling; optimization
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soil quality indicators; - Support for the integration of soil data into grazing prediction and plant regeneration models; - Contribution to technical reports, scientific articles, and dissemination
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open to candidates with a strong interest in either: i) Radio/physical-layer intelligence (e.g., channel estimation, CSI prediction, edge-deployable deep learning), or ii) Networking and control-plane
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].. [1] Salomonsen, C. "A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [18F]FDG PET imaging. " EJNMMI Research, 2026. [2] Thomas, S
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Learning-enabled control and reinforcement learning Power system operations, planning, and electricity market design Transportation systems modeling and optimization Responsibilities: Postdoctoral fellows
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identification, i.e. learning of models from measured data, and iii) real-time control, e.g. using the model predictive approach. We are working on several projects with industrial partners across the energy
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 4 days ago
‘centromeric’ view on ageing by: i) characterizing age-associated changes in centromere features in cellular models; ii) identifying the intrinsic (genetic and epigenetic) and extrinsic (viral infection
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accepted all year round Details Dynamic optimization is integral to many aspects of science and engineering, commonly found in trajectory optimization, optimal control (e.g. model predictive control, MPC