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English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description Position as PhD Research Fellow in Machine Learning and
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analysis methods, powder processing, optics, signal processing, and related fields. Ideally, they would also have experience in imaging, image analysis, and microstructural analysis. Their expertise should
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Institute post-doctoral fellowship will advance their sustainability research career. Current doctoral candidates should indicate the anticipated date of completion. A PhD or comparable degree is a
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, reproduction, sex determination, and/or olfaction/chemical sensing in tephritid pests of agriculture. The research opportunity will allow the postdoc to develop and/or improve biological control (genetic SIT
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for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing
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architectures for science Developing and advancing extreme-scale scientific data management, analysis, and visualization Developing and advancing next-generation machine learning, AI, and data science approaches
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fields. Strong background in medical image analysis and signal processing. Proficiency in programming, particularly in Python. Demonstrated ability to publish in peer-reviewed journals. Motivated, self
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methods to interrogate the functional role of specific lncRNAs in pluripotency, differentiation, and disease. This knowledge will lead to new potential opportunities in regulating these processes
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data at the IBM-CC Accelerator Discovery Program (the first Quantum Computer at the Cleveland Clinic Main Campus), Genomic Medicine Institute, Miller Family Heart & Vascular Institute, Taussig Cancer
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics