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24 Apr 2024 Job Information Organisation/Company Pirkanmaan Sairaanhoitopiiri Research Field Other Researcher Profile First Stage Researcher (R1) Country Finland Application Deadline 15 May 2024 - 11:59 (Europe/Helsinki) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jun...
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University, and the Finnish Meteorological Institute. A total of 100 new PhD students will start soon related to FAME, out of which 17 at University of Helsinki. See http://www.fameflagship.fi for more
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The Lammi Biological Station at the University of Helsinki is excited to announce an opening for a PhD researcher to join the newly formed group of Dr. Caio Graco-Roza. Research Description
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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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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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are not considered. For further information, please contact Professor Karoliina Honkala, the head of the PhD program in chemistry department, [email protected] , +358 40 8053686. Eligible candidates
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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