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skills, ability to interact with scientists at different levels good software design skills and the ability to write clean, and reusable code in machine learning, deep learning frameworks, such as
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compressed sensing) to determine greenhouse gas and pollutant emissions in cities using atmospheric measurements (MUCCnet: https://atmosphere.ei.tum.de/ ) and in-situ sensor networks in ICOS Cities project
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the project include mathematical derivation, analysis, and comparison of models, methods, and simulation approaches; rapid prototyping of new ideas in custom code; implementation of new models, methods, and
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compiled into a single, reasonably compressed PDF file and sent via email to burger@tum.de. Please use "Application for Ph.D. Position 2" or "Application for Post-Doc Position 2" as the subject line and
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of acquisition, organization, compression, analysis, and visualization of georeferenced or geometric data in large scales. We put emphasis on methods of distributed computing, machine learning, image and text
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regulatory code, from chromatin to protein abundance, of the eukaryote S. cerevisiae. To this end, EPIC takes a unique strategy to study gene regulation by leveraging evolution. We will assay 100 fungal
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, regardless of nationality, gender, or background. Note: The recruitment process will adhere strictly to the European Charter for Researchers principles and the Code of Conduct for the Recruitment
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flight physics code, which are to be further developed and supplemented as part of the project. In addition to code development, various phenomena of the landing approach to buildings shall be examined
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in and like coding. In this project, Julia and C++ will be utilized. • You have experience in and like implementing Finite Element routines. • You have very good English language skills
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outside-of-the-box. You will need strong coding skills (preferably Python, but also other software and hardware description languages) as well as experience with Machine Learning Frameworks (such as