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working with ecological data. The ideal candidate should have: Willingness to pursue a PhD degree in statistrical ecology, Interest in conducting research in context of biodiversity, species communities and
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The Fagerholm and Harjunpää groups at the Molecular and Integrative Bioscience (MIBS) Research programme, Faculty of Bio- and Environmental Sciences, University of Helsinki are inviting applications
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field experiments, coordinating sample collection, performing data analysis, and preparing scientific publications together with other researchers working in the project. The core dataset for the doctoral
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information, visit the lab web pages: See also our recent publication: DOI: 10.1038/s41467-024-54445-1 Your qualifications We are looking for ambitious researchers with a PhD, a solid publication record, and
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to the development of reproducible analysis workflows and pipelines. You have a PhD in bioinformatics, computational biology, data science, computer science, genetics or other relevant field. You have successfully
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% of annual working time). Requirements and eligibility criteria The Postdoctoral Researcher should have a PhD degree in computer science or bioinformatics (or related fields) with an emphasis on computational
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research goals; Curriculum vitae and list of publications; Recommendation letter or contact information of three persons for references at a later stage of consideration; Copies of PhD degree
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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics
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at the University of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms
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, writing articles, supervising M.Sc and possibly PhD students as well as contributing to teaching in the Master's Programme in Particle Physics and Astrophysical Sciences. The candidate should have: A good