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, normalization, dimensionality reduction) to downstream interpretation (differential expression, gene set enrichment, and cell type annotation). Implement Machine Learning Approaches, including deep learning
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Devices (QCD) group at the Department of Applied Physics. In this position you have a chance to make history by demonstrating some of the first experiments of the future quantum-computer technology that is
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will be working closely with machine learning researchers and on scientific projects using AI, so a background in machine learning is highly desirable. In general, candidates should have a doctoral
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generation, software testing, architecture design, or other software process phases 4) integrating AI and machine learning into software systems 5) explainable and responsible AI models for software
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will be working closely with machine learning researchers and on scientific projects using AI, so a background in machine learning is highly desirable. In general, candidates should have a doctoral
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enthusiastic doctoral researcher with: A master’s degree (or equivalent) in conservation science, ecology, geography, or other relevant fields. Previous experience with digital data analysis, modelling, machine