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in day-to-day supervision of students. Teach and disseminate your knowledge. Key criteria for the assessment of applicants Applicants must have a PhD degree related to the subject area of the project
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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
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contribute to the preparation of reports, manuscripts, and other written outputs. Requirements for both posts are: PhD in Nutrition, Epidemiology, Statistics. Expertise in data analysis: nutritional biomarkers
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for public history projects in a global context Design and teach two courses per year - possibly in the Master in Digital and Public History Coordinate joint activities with international partners Work
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funding. The start date is 1 September 2026. The appointee is expected to reside in the Helsinki Metropolitan Area during the employment. QUALIFICATIONS AND EVALUATION Applicants are required to hold a PhD
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of an independent scientific career. Requirements PhD in Neuroscience, Bioinformatics, Computational Biology, or related field Proven track record in relevant techniques for the position applied Proficiency in
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without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Doctorate -PhD in
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) and will teach one course per semester in the Department of Anthropology’s terminal Master’s (MAO) Program and work with the Director of the MAO Program. Successful candidates must have their PhD by
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completed the PhD and is prepared to contribute immediately to assigned research projects associated with the NSF award. The postdoctoral researcher will be expected to work on analytical and implementation
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, integrate device engineering with clinical workflows, and apply artificial intelligence and machine learning for automated image and signal analysis, tissue classification, and real-time diagnostics