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consortium that develops methods of applied mathematics and physics for the benefit of society, including medical imaging, industrial process monitoring, non-destructive structural testing and satellite data
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for Sensing, Imaging and Modelling, FAME, is a multidisciplinary consortium that develops methods of applied mathematics and physics for the benefit of society, including medical imaging, industrial process
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activities Who we are looking for Requirements Applicants should have a PhD degree in a relevant field (e.g., ecology, biology) or have submitted their PhD thesis for evaluation before the application deadline
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journal articles as a foundation for a PhD thesis co-authoring and/or editing academic work with the project PI and collaborators research within law, political sciences, and other relevant disciplines
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, expertise and/or qualifications • PhD degree in computational biology, bioinformatics, biostatistics, computer science, or a related field • Strong publication record • Proficiency in programming
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. PhD diploma is to be acquired by the first day of employment. The working language of the project is English. The period following the completion of doctoral degree must not exceed five years, excluding
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expect a successful candidate to have a PhD degree from a relevant field with skills and experience in computational genomics and machine learning. Familiarity with the above-mentioned data types is an
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candidate to have a PhD degree from a relevant field with skills and experience in image analysis and machine learning. Familiarity with the volumetric microscopy image data and statistical methods
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lab work as well as supervision of PhD students. Who we are looking for The candidate • must have high motivation to do research. • must hold an MSc, a PhD or equivalent degree in chemistry, minrealogy
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4 Apr 2024 Job Information Organisation/Company University of Oulu Research Field Computer science » Other Physics » Thermodynamics Physics » Other Researcher Profile Recognised Researcher (R2