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the appointment process, special attention will be given to research skills in electrochemistry, material chemistry and organic chemistry. About the employment The position involves full-time employment for a
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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, development and inclusive participation for all of our diverse members. We are looking for a driven postdoctoral fellow to work with advanced 3D models of lung to understand regenerative processes in normal
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the natural and ubiquitous processes of water evaporation and moisture absorption. This will result in the creation of “zero emission”, sustainable, efficient and recyclable water-evaporation-induced
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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large PhD programme and co-ordinates three international Master programmes. The Department has a well established reputation for wide-ranging research with an emphasis on long-term processes, and with
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Project description The postdoctoral fellow will explore synaptic processes and white matter pathways between remote brain areas in vivo in animal models that underlie plasticity in the prefrontal
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of optics, imaging systems, digital holography, speckle metrology, Matlab and simulations, signal processing, the Fourier transform, machine learning, and classifiers such as SVM. Meriting qualifications
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. Within the division, the Kádár Group conducts research in the broader field of rheology and processing of soft matter. Our ongoing projects center around three main areas: Field–matter interactions