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Field
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ICFO is offering a postdoctoral position to a well-qualified, highly motivated and dynamic young scientist who wishes to enhance his/her scientific career in a friendly and stimulating environment. The successful candidate will be joining the Functional Optoelectronic Nanomaterials group led by...
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– Skills – Abilities Required knowledge: biology, chemistry, mathematics, statistics, documentation, records management, data utilization, complex problem solving, critical thinking, resource management, and
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on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to advance the use of mathematical and statistical models
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well as general research involving the application of methods from theoretical physics, mathematics, and machine learning with the goal to understand the brain function. Position Requirements Applicants
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ICFO is offering postdoctoral positions to well-qualified, highly motivated and dynamic young scientists who wish to contribute advance technologies that drive the clean energy transition. The CO2 Mitigation Accelerated by Photons group led by Prof. Dr. Pelayo García de Arquer is searching for...
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. Currently, a number of mathematical models exist to describe the onset and progression of Alzheimer’s Disease and the effects of anti-amyloid therapies on disease progression. The models are informed by a
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good publication track record Above-average master’s degree in computer science, electrical/ mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline
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. in computer science or a related field (e.g., engineering, applied mathematics, statistics) awarded within the last 5 years. Strong theoretical understanding and practical experience in deep learning
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to 2 years; an extension of an additional 2 years is possible. TASKS: Mathematical and physical modeling to determine greenhouse gas and pollutant emissions in cities using novel atmospheric measurements
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transient mathematical models for cell charge and discharge, based on the coupled thermodynamic, kinetic, and transport processes taking place in the cell. In addition, the successful applicant may contribute