386 evolution "https:" "https:" "https:" "https:" "https:" "Ulster University" research jobs at Nature Careers
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of the Medical University of Vienna. With around 6,500 employees and 8,600 students, the Medical University of Vienna is one of the largest biomedical research and teaching institutions in Europe (https
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interests in applied statistics, machine learning, or computational biology are encouraged to apply. For more information, please visit our website https://ds.dfci.harvard.edu/postdocs to view the list
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apply and should refer to PD2 posts instead. Prior to application, further information (including application procedure) should be obtained from the Work at UCD website: https://www.ucd.ie/workatucd/jobs/
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. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:887298/ ) and submitted by the deadline 18 March 2026. Please apply at with
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. The position is embedded in a broader research agenda on trustworthy, data-driven software engineering and AI-assisted development. The successful candidate will work on Bug Report Intelligence
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in our team. Learn more about us here: https://swa.cs.univie.ac.at/ . Your future tasks: You actively participate in research and administration, which means: You develop software engineering methods
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foundation in related fields who are eager to learn and contribute to our research program. Technical duties include but are not limited to: Lead independent research projects, including hypothesis development
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mammalian cell work are desirable. The candidate should have worked independently and have good communication skills for teamwork. This is a three-year training and development position suitable for you if
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growing global environmental challenge, may potentially affect early brain development. The work includes preclinical studies to determine whether microplastics can cross the placenta, reach the fetal brain
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts