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-residential position. The successful candidate will teach graduate-level courses and advise MPH students entirely in a virtual environment. No on-campus presence is required. County Spokane (or Approved Remote
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-residential position. The successful candidate will teach graduate-level courses and advise MPH students entirely in a virtual environment. No on-campus presence is required. County Spokane (or Approved Remote
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flexibility orchestration Scalable data and machine learning pipelines Digital twin architectures for cyber-physical energy systems AI-based energy system modeling, simulation, and optimization Secure and
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that blend industrial design with advanced technologies. He/she will apply expertise in areas such as electronics/sensors technology, machine learning/programming, physical ergonomics/cognitive ergonomics
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related Data Science area such as Biostatistics or Statistical/Machine Learning and have a track record of independent research of international standing. Reporting to the Head of School of Mathematical
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strengths of the University of Tübingen in Computer Sciences and Machine Learning. Potential research directions include, but are not limited to, phylogenetic, demographic, ecological and biogeographic
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partner sites. Work with the Academic Council, Curriculum Committee, and year-level leaders to support instructional quality, student learning outcomes, and continuous improvement across all four years
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State University of New York University at Albany | Albany, New York | United States | about 4 hours ago
to their interests and expertise. Areas of particular interest include, but are not limited to, computer hardware, architecture, and programming. Primary Responsibilities: Teach classes in electrical and computer
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. Required Qualifications: An earned PhD in a life sciences related field, such as Molecular Biology, Microbiology, Genetics, etc. A minimum of five years of post-doctoral wet bench research experience
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Caribbean populations of African descent. Most mechanistic insights derive from non-representative cohorts, limiting biomarker discovery and therapeutic precision. Recent multi-omic and machine learning