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Learning at TUM works on machine learning, artificial intelligence, and information processing, with a current focus on foundation models, data-centric research, and applications to scientific and medical
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Intelligence/Machine Learning (AI/ML) methods in agriculture (Agro-AI/ML); and Experience in programming with multiple languages (e.g., Java, C/C++, Python) for geospatial information systems, agro-informatic
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of microscopy acquisition protocols, contributing to the development of high-throughput platforms combining electron microscopy and artificial intelligence. PeCATHS is committed to develop an integrated long-term
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Blog icon Skip to content Skip to search AUSTRALIA’S NATIONAL SCIENCE AGENCY About Research Work with us Careers Education News Events Search Quick links Climate change COVID-19 research Diets Staff
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will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from
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and evolving threats facing network security and intelligence organizations. Apply project planning and management methodologies to support program execution. Engage international stakeholders with
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Neuroscience. This position is one of four within a coordinated cluster hire - alongside colleagues in brain circuit imaging, machine learning and artificial intelligence, and research software engineering
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of the page. The application must include the following documents written in English or Swedish, in PDF or Word format: A cover letter briefly describing your qualifications and research interests
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Qualifications Education: ABD status by start date, PhD preferred by start date in a field relevant to the research being conducted, such as computer science, artificial intelligence, machine learning
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology