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requires working with large data sets related to parenting and child development across multiple sites in the United States, helping to prepare data and estimate models for a variety of research papers, and
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will hold a PhD (or close to completion) or possess equivalent research experience in a relevant computational field such as data science, artificial intelligence, machine learning, computer science
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nature and a range of outdoor, sports and exercise activities. As a major centre of education with a large student population, it also features a vibrant cultural scene. For more information about the
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transcriptomic data. • Detect and interpret structural variation from Nanopore/PacBio sequencing. • Build scalable, reproducible pipelines for large genome collections and public databases. • Collaborate closely
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Required Qualifications: PhD or DMA in computer music, music technology, composition, music theory, music cognition, sound studies, or a related field (ABD accepted with degree in hand by start of
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external) is reimagining the experimental neuroscience pipeline with big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that
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. This is enabled by an extensive farm-based infrastructure with large scale measurement of methane emissions and feed intake on individual cows, as well as collaborations with industry and international
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and publications, Ability to analyse and interpret complex environmental datasets, Ability to work independently Additional Information Eligibility criteria Mandatory: *PhD in Environmental Engineering
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of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 31-Mar-26 Location: East Lansing, Michigan Type: Full-time Categories: Academic/Faculty Computer/Information Sciences