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compliance with University policies and procedures to provide direction and support as needed to faculty, postdocs, students, and staff. Required Skill/Ability 2: Exceptional interpersonal skills and proven
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Postdoc opportunity: machine learning methods for high-content image screens (Verhaak lab) Description The Verhaak lab is looking to recruit a postdoctoral associate who will help us develop
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interests, aligning broadly with the themes of stellar astrophysics, machine learning, and the analysis of large observational and theoretical data sets. Conveniently located between New York City and Boston
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position with experience in physiologic signal processing (e.g., EEG) and statistical/machine learning methods. The applicant would be joining the lab of Dr. Jennifer A. Kim MD-PhD, which focuses
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: The successful candidates are expected to work on the development and application of bioinformatic (integrative multi-omic methods) and/or computational mass spectrometry workflows (machine- and deep-learning
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, iNaturalist or other crowd sourced data, participatory mapping, maximum entropy modelling, machine learning are also a bonus. The position responsibilities include tasks related to research topics above, co
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to facilitate timely and professional deliverables Experience with causal inference, machine learning, and artificial intelligence is desirable Organization: Yale School of Public Health Department: Biostatistics
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or more of the following is desired: machine learning methods, statistical genetics, large-scale genomic analyses, cloud computing, and single-cell and or bulk sequencing analysis. The ideal candidate will
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, iNaturalist or other crowd sourced data, participatory mapping, maximum entropy modelling, machine learning are also a bonus. The position responsibilities include tasks related to research topics above, co
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expertise Fluent English in speech and writing Effective team player SKILLS PREFERRED Knowledge in one or more of the areas of machine learning, deep learning, distributed computing, p2p networks