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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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skilled doctoral researcher (PhD student) that will work in a vibrant and international research environment as part of a Research Council of Finland funded project on RNA-mediated pathogenicity mechanisms
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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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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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researcher (PhD student), who recently completed their MSc degree in the field of Physics, Chemistry, Computational Biology or any other similar area with good experience in Linux/Unix operating system usage