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Assistant Professor/Associate Professor or Professor in Ecological Restoration of Urban Environments
-sciences ) is Finland’s premier hub for environmental and life science research and education. The position is based in the Ecosystems and Environment Research Programme, which is one of the three Research
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forest sciences degree programs and in the university-level Liberal Arts and Sciences (LAS) program. The Department of Forest Sciences offers the LAS program "Resource management of global forests" study
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research group and establish an ambitious research program in the burgeoning research field of Living State Physics. The new professor shall actively engage in education in this field at the NBE department
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Programme in Translational Medicine. It also offers psychotherapist education. In addition to its teaching and research activities, the faculty serves as a significant expert organisation in the healthcare
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Devices (QCD) group at the Department of Applied Physics. In this position you have a chance to make history by demonstrating some of the first experiments of the future quantum-computer technology that is
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using the University of Helsinki Recruitment System by clicking the button “Apply now”. The application should include: A cover letter explaining the applicant’s motivation in joining the research program
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of this call are particularly encouraged to apply. Role and requirements The new professor is expected to build and lead an internationally recognized research group and establish an ambitious research program
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to 90 from 2026. The degree programmes are accredited following the European System of Evaluation of Veterinary Training (ESEVT). The Faculty has four departments (Food Hygiene and Environmental Health
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in a relevant field Strong statistical background with either R or Python, with the ability to work in both worlds. Experience with databases (SQL) We work with Linux in large secure computing
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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