61 application-programming-android-"the" PhD scholarships at Technical University of Munich in Germany
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for three PhD positions to be filled on August 1st 2025 to enlarge our research team working on NLP for medical applications. PhD Positions in NLP for Medical Applications The Chair of Software Engineering
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to: https://bonaldli.github.io/ Application process We look forward to receiving your application documents (one-page letter outlining your motivation and research plan, transcripts of records, CV
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tools (e.g., Python programming) is an advantage. You enjoy working in an international team and have good communication skills. Proficiency in spoken and written English is required. For more information
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optimization or discrete algorithms. Profound mathematical modeling and programming skills. Experience with the design and analysis of graph algorithms or multiobjective optimization models is a plus. Very good
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project funded within the DFG Priority Programme “Illuminating Gene Functions in the Human Gut Microbiome” (SPP 2474) and be involved in microbiology and molecular microbiology of the gut microbiota
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programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
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experiences in working with remote sensing data, climate data and programming skills (R or Python) are desired. You enjoy working in an international team and you are keen on developing a key set of research
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challenges, such as Global Urbanization, UN’s SDGs and Climate Change, thus, works on solutions that can scale up for global applications. We are involved in a large number of third-party projects and a large
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materials to advance the potential of biopolymers in various applications. Project description Cellulose is the most abundant biopolymer on earth and offers significant potential for applications such as
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, unlabeled spectral data, and subsequently fine-tuned on labeled datasets for specific applications such as disease diagnosis and metabolic health assessment. With this approach, the project seeks to establish