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information science at the Bachelor and Master levels. This may include courses in information science foundations, programming, artificial intelligence, machine learning. In addition, the candidate is expected
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responsible related professional research experience. A PhD in a scientific or engineering field may be substituted for up to two (2) years of the required work experience. Any combination of relevant education
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position to teach a semester-long seminar on Introduction to Peace and Conflict Resolution in the Master of International Development Policy (MIDP) Program . The course should be taught at a level suitable
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to PET image reconstruction. Highly specialized and technical expertise in scientific programming, medical imaging and machine learning methods is required to carry out designated research projects
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, Bioinformatics, Computer Sciences, or related field, or an equivalent terminal degree (MD, DVM, PharmD or MD/PhD), and at least 1-2 years of postdoctoral training. The selected individual must positively and
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teaching at the secondary or postsecondary level or in industrial training programs. Desirable Education and/or Experience • PhD in electrical or computer engineering or a closely related field, from
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will also profit from the vibrant research community around machine learning of the SCADS.AI center (https://scads.ai ) and the recently granted Excellence Cluster REC² – Responsible Electronics in
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research responsibility; however interest in research will be viewed favorably. Lecturer applicants should hold a Master’s degree in Computer Science or Computer Engineering. PhD preferred. Applicants with a
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State University of New York University at Albany | Albany, New York | United States | about 9 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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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