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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing
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in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to unlock the full potential of the dark proteome. Responsibilities Scientific visionRibosome
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of learning and memory, with a particular emphasis on cognitive disorders such as PTSD and Alzheimer's Disease. Specifically, we are looking for a person with a background in (neuro-) epigenetic research who is
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-driven machine learning approaches, they will improve our understanding of nutrient flows in agricultural landscapes. The postdoc will contribute to the development of databases representing the current
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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models for high-dimensional and functional data ”, led by Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available
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will also have the opportunity to learn how to lead science projects and be directed and mentored to be independent. Education Requirement: PhD in biological, biomedical, or physical sciences required
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accordance with the German pay scale TV-L E13, depending on experience and qualifications. TUM sports and health programs TUM-internal training courses (e.g. language courses and lifelong learning) Good
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. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab