17 natural-language-processing Fellowship positions at University of Maryland, Baltimore
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racism, there is an urgent public health need to capture the complex nature and impacts of structural racism in a multicultural and multiracial society. Our overall objective is to develop
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the recruitment process, please contact us at HRJobs@umaryland.edu and let us know the nature of your request and your contact information. Please note that only inquiries concerning a request for reasonable
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Disabilities Act (ADA) during any part of the employment process, please submit a UMB Job Applicant Accommodation Request . You may also contact HRDiversity@umaryland.edu . Please note that only inquiries
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reasonable accommodation for a disability under the Americans with Disabilities Act (ADA) during any part of the employment process, please submit a UMB Job Applicant Accommodation Request . You may also
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, please visit the COVID-19 website. If you anticipate needing a reasonable accommodation for a disability under the Americans with Disabilities Act (ADA) during any part of the employment process, please
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for natural and drug reward. The Juarez lab uses circuit dissecting ex vivo and in vivo electrophysiology, fiber photometry, viral based CRISPR/Cas9 gene-editing, and methods to manipulate neural activity in
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the following languages: Python, R, or C/C++ and proficiency in use of Linux/Unix command-line system • possess a working knowledge on genomic sciences and sequencing biotechnologies • lead or
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. The ideal applicant is expected to: • possess a strong programming skill in at least one language in Python, R, or C/C++ and proficiency in use of Linux/Unix command-line system • possess a demonstrable
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desired: 1. Manuscript writing 2. Mouse models of cancer 3. Molecular and cell biology 4. Immunology Preferred candidates should be fluent in English. Please e-mail an application including a cover letter
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reconstruction, processing, synthesis, and registration, as well as AI for treatment outcome prediction and clinical decision making. The projects will involve using multi-modality images (CT, CBCT, MRI, PET