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will work with faculty, staff, and researchers in the College of Allied Health Professions (CAHP) and with collaborators across campus to: 1) develop procedures for organization, cleaning, processing
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ability to effectively deal with external developments such as staff shortage. This will be based on insights into the characteristics of operations, and attributes (e.g., learning demand, availability
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in algorithms development and refinement; (b) a good command of both written and spoken English; and (c) at least two first-authored publications. Preference will be given to those with: (a
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Details Additional Information Posting Category Operations Working Title Automation Systems Programmer I Job Title Facilities Specialist (Prof) Salary Grade FP23S Appointment Type B1 - REG MGR PROF SALARY
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gradient flow methods hold significant potential for the development of sampling algorithms. The research goals are structured into the following primary tasks: Parameter identification: The problem
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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to test the current algorithm and inform development of future algorithm refinements aimed at supporting diabetic foot ulcer (DFU) prevention through identification of temperature differences of > 2.2°C
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developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra. Desirable: - knowledge in the field of Planetary Sciences - very good written and spoken English (C1
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We are seeking an outstanding, creative researcher with the skills to develop novel, ‘artificially intelligent’ approaches to the application of nanofabrication techniques – see, for example https
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. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more