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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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, 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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, Faculty of Medicine. In the fields of Medical Physics and Technology or Biomedical Engineering. 1 position in the Research Unit of Space Physics and Astronomy , Faculty of Science. In the field of Space
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18 Apr 2024 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Medical sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country Finland
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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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evaluation. The successful candidate will have an excellent track-record of research performance, including a PhD or equivalent degree along with post-doctoral experience. We are particularly looking
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designs) and over 90 peer-reviewed journal publications. Our team comprises 4 senior researchers with PhDs in Electrical Engineering and 6 junior researchers, PhD candidates in medical instrumentation
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, PhD candidates in medical instrumentation. Additionally, we collaborate with technical, medical, administrative, and legal professionals on a project basis. Our team at Tecnalia Serbia values both