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, please visit: https://qbm.genzentrum.lmu.de/application/ Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in
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of our product development teams building applications within the St. Jude Cloud ecosystem, including the large-scale data sharing application, Genomics Platform (https://platform.stjude.cloud
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(Python or C/C++) with experience in systems engineering and software development. Solid knowledge of both basic and modern methods in machine learning, NLP and computer vision, including supervised and
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the development of new statistical analysis methods, meta-analysis across cohorts, and the linking of clinical data to high dimensional, omics datasets. Our group is extremely collaborative both through formal
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, determine amount of material and time involved; make cost estimates, work orders, inventory lists and project reports/records. May be required to serve as a lead worker and/or supervise, instruct and train
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(social political, economic and environmental etc.). Students will learn about basic research methods and issues in the field. Current examples of major local and global health concerns will be used
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Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: 1) Knowledge of the principles and methods of indigenous education 2) Knowledge of health and human services systems
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), within the scope of the project HIA-Home Intelligent Assistant, financed by own revenues, taking place at the Department of Informatics, University of Beira Interior https://www.ubi.pt/entidade
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data, and apply the computational methods to understand biomedical problems like tumor microenvironment, immunology, and aging. The individual will work with Dr. Yi Zhang (https://yi-zhang-compbio