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The Research Council of Finland funds four Finnish Flagships over two four-year periods. The Flagship of Advanced Mathematics for Sensing, Imaging and Modelling, FAME, is a multidisciplinary
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collection at international facilities. About you • you are ambitious, goal-oriented, collegial and motivated to tackle challenging new projects • PhD degree (or be in the final stages of PhD submission
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are ambitious, goal-oriented, collegial and motivated to tackle challenging new projects • Have PhD degree in (or in final stages to submit) in protein biochemistry/molecular biology/molecular
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are ambitious, goal-oriented, collegial and motivated to tackle challenging new projects • Have PhD degree in (or in final stages to submit) in protein biochemistry/molecular biology/molecular
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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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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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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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. 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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Scotland Institute, UK and DKFZ, Heidelberg. Your mission We are seeking an ambitious fellow with a PhD and strong background in one or more of the following fields: • Primary stem cell systems