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27 Mar 2026 Job Information Organisation/Company University of Oslo Research Field Computer science Technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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predictive control, optimization-based decision frameworks, and data-driven performance modelling. The overall goal is to develop computational methods that enable efficient and intelligent operation of wind
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predictive control, optimization-based decision frameworks, and data-driven performance modelling. The overall goal is to develop computational methods that enable efficient and intelligent operation of wind
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 2 hours ago
learning algorithms, as well as the adaptation and optimization of existing tools. This research aligns with CBER’s efforts to enhance the development, operations, and management of FDA’s High-performance
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) [Appointment period: three months] Duties The appointees will assist the project leader in the research project - “Optimization techniques for double disruption-protected OCH-layer network design
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aims to improve electrodialysis (ED) for REE separation by developing advanced membranes and integrating AI-driven optimization techniques. By combining materials innovation with machine learning
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vitro/in vivo ADME/PK evaluation Experience with computational drug discovery Key Responsibilities & Accountabilities Design, synthesize, and optimize molecules targeting GPCRs (cannabinoid receptors
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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interpret research datasets, drawing meaningful conclusions using appropriate statistical methods and scientific reasoning. Develop and optimize computational pipelines, scripts, and workflows using Python