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and data taking, designing and constructing upgrades to the machines, data analysis, literature research, and article writing. You will also take an active role in group activities, such as bachelor and
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team combining molecular biology, immunology, and clinical hemato-oncology expertise. The candidate will take an active role across the full experimental cycle of the: data generation, analysis, and
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projects in at least one of the following areas: machine learning, NLP/LLM, data analysis, software development, or medical data processing Willingness to familiarize yourself with medical standards, data
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good command of spoken and written English. Experience with data analysis in astroparticle, particle or cosmic-ray physics is an advantage Familiarity with machine learning may be useful, but is not
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
functionality. Activities include experimental design and execution, project evaluation, data analysis, student training, and education. In addition, this position is responsible for the strategic development
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
functionality. Activities include experimental design and execution, project evaluation, data analysis, student training, and education. In addition, this position is responsible for the strategic development
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biology, AI guided protein engineering and chemical analysis, you will establish the molecular basis of REE binding and discrimination in naturally evolved lanthanophores, establishing the ‘rules’ of REE
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data analysis. One focus will be designing and building the web platform: an interface where researchers upload their data and get automated scores back, a system that can host and serve multiple scoring
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. This correspondence is a cornerstone of the modern Langlands program, providing a deep and unforeseen bridge between harmonic analysis and number theory. The primary goal of this project is to formalise
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The Max Planck ETH Center for Learning Systems (CLS) addresses cross-disciplinary research questions in the design and analysis of natural and man-made learning systems. The excellent engineering