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in quantitative methods (reflected in courses and/or research experience) Proficiency in R, Python, or similar programming languages (or strong skills in another statistics software) Knowledge about
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inductive biases, we aim to identify key mechanisms that drive rapid learning in the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics
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-defined research question, and detail the proposed methodology. Applicants should identify potential advisors from among the principal investigators, specify the relevant academic discipline, and provide
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English. You can write and defend your thesis in English or in German. The programme is designed to be completed in three years. During this time, defined milestones will help you and your supervisors
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infrastructure data, and building visual tools to support the interpretation and communication of results. The work has a strong foundation in systems and network research, with an emphasis on DNS protocol
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including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during their PhD
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on defining the initial separated fuel length scales. Fundamental to the definition of primary breakup correlations is the Weber number, which describes the ratio between air momentum and fuel surface tension
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is characterised by complex and highly dynamic turbulent flows that define the performance and design of renewable energy systems and their infrastructure. This PhD project aims to enhance
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international research networks. Internationally competitive salaries and social benefits are provided according to the rules of the University of Basel. The University of Basel (www.unibas.ch ) is the oldest
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, biologists, and engineers. You will also have the opportunity to present your research at international conferences, expanding your network and gaining valuable experience in scientific communication