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reconstruction algorithms. Inconsistencies can be used to correct the input data, for example to improve attenuation correction. The aim of this postdoc is to correct rigid motion in SPECT reconstruction based
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control and energy management strategies, including centralized / distributed control approaches, for ESS coordination and ancillary service delivery. Develop optimization algorithms and Al-based methods
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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. They come in various configurations, from simple, conceptual lumped models to more complex, distributed ones. Their low input data requirements and flexible application make them widely used by water managers
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | 30 minutes ago
, deliberative workshops with potential pilot communities, surveys, and comparative policy review to capture needs and equity concerns, build an operational model of BC’s transmission system, design distributed
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Astronomy Startdate: 01.11.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 4570 The 'Dynamics of Stellar Systems' research
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trustworthy medical AI? Deep models already outperform humans on many benchmarks, yet in the clinic they remain black boxes: radiologists cannot see why an algorithm flags a lesion, and AI engineers cannot tell
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2 Sep 2025 Job Information Organisation/Company Ecole Centrale de Lyon Research Field Engineering Physics Mathematics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 4570 The 'Dynamics of Stellar Systems' research group , led by Prof. Glenn van de Ven, is part of the Department of Astrophysics