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field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming
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Professor Daniel Paulusma from Durham University and Professor Vadim Lozin from the University of Warwick. The general aim of the project is to develop algorithmic meta-classifications, which state that any
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Postdoctoral researcher in marine ecosystems modelling for the Marine and Continental Waters Program
skills, and technical writing. Capacity to successfully develop collaborative research links with national and international research organizations. Strong teamwork skills, ability to adapt
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, the candidate will be leading the building of a database to i) guide neuroethological studies (behaviour and physiology) in honeybees at University of Konstanz, and ii) train algorithms aimed at modelling and
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for: • Contributing to various tasks related to the modeling of lipids and membrane proteins involved in lipid droplet biogenesis. • Developing and implementing the POP-MD algorithm in the OpenMM software
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evaluation of algorithms for: perception in robotics; sensor based control and navigation ; interactive mobile manipulation; multi-sensor data modelling and fusion. This job offer takes place within
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systems. The position offers an exciting opportunity to engage in cutting-edge research that addresses both theoretical challenges and practical applications. Key Responsibilities: Develop innovative
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movement; (iii) generate benefits for both society and the environment by guiding possible mitigation strategies; and (iv) drive technological progress through the development of novel algorithms
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plants). The associate will develop rigorous, scalable methods—spanning physics-based and data-driven models—for optimal power flow, demand response of flexible loads, transient/stability-aware dispatch
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. The candidate will collaborate closely with team members to develop novel quantum computing algorithms that leverage hybrid detection methods and explore the potential of 3D cluster states for enabling fault