388 algorithm-development-"Multiple"-"Prof"-"Prof"-"SUNY"-"Embry-Riddle-Aeronautical-University" positions
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The Faculty of Engineering, Department Elektronica en informatica, Research Group Electronics and Informatics: Research – Development - Innovation is looking for a PhD-student with a doctoral grant
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purposes to meet multiple information and strategic requirements for the various stakeholders of the university. The successful candidate will join a team of other data analysts and data scientists to engage
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of Excellence for Data-Driven Discovery, applying advanced computational techniques to develop novel therapeutics. This position will work closely with researchers in the Center of Excellence for Data Driven
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countermeasures. The successful applicant will work closely with collaborators and co-investigators across multiple schools within SET on theoretical and algorithm development and implementation, assist
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to develop advanced algorithms, parallel computing capabilities, and software engineering of Green’s function based multiple-scattering code for computing the electronic structure and energetics
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combination of statistical, quantitative and qualitative methods. Extracts, manipulates, and interprets data using statistical software (E.g., SPSS, R) and SQL-based query applications (e.g., Cognos) Develops
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team to lead our efforts to improve quantitative image analysis in projects related to cell adhesion. This position will operate with a high level of autonomy and entails developing innovative
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to your doctoral programme, which includes participation in research projects as well as third cycle courses, seminars and conferences. The work duties include: You will work on multiple projects developing
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control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the opportunity to deeply engage with
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University on the NAMUR project is focused on creating intuitive systems for controlling multiple robots with natural language. The successful candidate will develop and test novel user interfaces