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algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science professionals with a desire to
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multiscale simulation methods for quantum mechanical properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms
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. A PhD in Computer Engineering, Electrical Engineering, or Computer Science with teaching experience, is required by appointment start date. Candidates should have experience with a range of Computer
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science
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Ph.D. in any aspects of climate and/or sustainability, with either by a PhD degree in any aspect of climate and/or sustainability sciences and engineering (e.g., to coincide with one of the five themes
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directly with Student Financial Services, PhD Student operations, and the Office of Enrollment Management team to ensure that funding sources are accurate and align with budgetary goals. Organize and upload
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, program managers, and budget managers to fund students from the appropriate sources and in a timely manner year-round. Work directly with Student Financial Services, PhD Student operations, and the Office
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for the course within the expectations of the Department of Marine and Environmental Sciences. Qualifications: PHD in relevant field, teaching experience preferred. Position Type Academic Additional Information