52 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" positions at Boston University
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managers who are responsible for managing daily operations and maintenance of university campuses. This role involves developing excellent working relationships with the university community and both
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will play a vital role in assessing training needs, developing strategic training plans, and delivering engaging training programs for both technical and end-user audiences across the University. Key
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biosecurity control methods Completing duties as assigned in both ABSL-1 and ABSL-2 facilities Why work at BU? Animal Science Center is committed to your professional development and providing opportunities
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, Massachusetts 02215, United States of America [map ] Subject Areas: Computer Science / Big Data , Data Science , Algorithms , Artificial Intelligence , Databases , Machine Learning , Security and Privacy
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to juggle multiple tasks and meet deadlines, and one to three years of experience in fast-paced customer service environment. Occasional evening and weekend work required. We are an equal opportunity employer
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alignment with the organization's strategic goals and objectives Arrange accommodations and other logistics for event participants when necessary Assist in developing event marketing strategies to attract
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require database, software development, and interface development skills, as well as the ability to analyze data from multiple omics assays (transcriptomics, proteomics, metabolomics, etc.). The position
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requires the ability to track and plan ahead to meet the instructional objectives of multiple curricula, and collaborate with faculty and staff to ensure that students receive the appropriate supplies and
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. Attention to detail, strong organizational skills with the ability to prioritize multiple tasks and work independently. Excellent interpersonal skills and ability to work well as part of a team with all
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-processing and QC-ing the generated data, applying multiple bioinformatics analysis tools for the identification and prioritization of candidate disease-associated molecular features to be validated