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), Computational Biology (stochastic and analytical models of gene expression), Signal Processing (machine learning, image and signal processing), Biophysics, Microbiology and Single-cell Biology (flow cytometry
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Develop instrumentation and fixtures for the automation. Capabilities in advanced finite element or machine learning tools for process optimisation Disseminate the research outcomes into Journal
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assignments and examinations. Tools/Equipment: Ability to operate standard classroom instructional technology, which may include computer, projector, document camera, etc. Application Instructions: In
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, and machine learning models for functional genomics research in mycobacteria. Responsibilities Responsibilities include: Develop and maintain Django-based web applications and databases for sharing
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fully funded PhD position in the area of safe data-driven system identification for cyber-physical systems, offered by our research group at the intersection of control theory, machine learning, and
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Education: Master's Degree in appropriate discipline (Counseling, Psychology, Teaching and Learning, Education, Rehabilitation Counseling, Social Work, or related area) or Bachelor's degree plus 2-3 years
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Engineering (CCEE: https://cce.eng.ua.edu/ ) and the College of Engineering (CoE: https://eng.ua.edu/ ) at The University of Alabama (UA: https://ua.edu/ ) invite applications for multiple tenure-track and
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applications such as Email, MS word and MS excel.- Maintain shift records for use by Central Plant staff.- Ability to learn plant instrumentation and control systems.- Ability to perform required task under
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information electronically In-depth knowledge of distance learning educational models, adult learning styles, and technology-assisted instruction. In-depth knowledge of developing curriculum design required
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multi-omic sequencing, network biology, and machine learning to identify actionable biomarkers and therapeutic vulnerabilities. The successful candidate will work at the interface of computational