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Field
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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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. The Liu Laboratory focuses on the integrative modeling of transcription and signaling pathway activation. The lab develops algorithms for the analysis of gene expression arrays and next-generation
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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data and the algorithms need to comply with local legislation. We seek a postdoctoral researcher who is interested in Developing Data-driven control solutions for medical mobile applications. Investigate
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mechanisms, novel diagnostics and therapeutics, as well as development of devices and algorithms that will improve health, with lasting impact to the society. The salary range for this position is $61,008
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generally to develop new distributed edge services. The successful candidate is expected to evaluate metrics such as latency, throughput, availability, and resilience in different applications scenarios