42 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs at UNIVERSITY OF HELSINKI in Finland
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for separately (www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell ). The requirements for pursuing a doctoral degree at the University of Helsinki can be found at https
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at https://www.helsinki.fi/en/about-us/careers/why-university-helsinki/staff-benefits . FURTHER INFORMATION Rotation programme at FIMM: https://www.helsinki.fi/en/hilife-helsinki-institute-life-science/units
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machine learning. We focus on inductive logic programming (ILP), which learns logical rules from data. We primarily use automated reasoning techniques, such as SAT/ASP/SMT/MaxSAT solvers, to learn rules
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information: About the position: Professor Johanna Mappes (Johanna.mappes@helsinki.fi ). Recruitment system:rekrytointi@helsinki.fi Viikki Campus: https://www.helsinki.fi/en/about-us/campuses/viikki-campus
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8 Jan 2026 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field History Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country Finland Application
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Finland. More information here: https://www.helsinki.fi/en/about-us/careers/welcome-finland-information-arriving-staff How to apply The application must be submitted by 22 January. A round of interviews
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. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404853/doctoral-researcher… Requirements Additional Information Work Location(s) Number of offers available1Company
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the Neuroscience Center in the University of Helsinki (see: https://www2.helsinki.fi/en/researchgroups/synaptic-plasticity-and-development ).The research interests are focused on functional maturation of neuronal
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knowledge, the goal is to elucidate bacterial genetic evolution that was shaped by human influence and make predictions to the future. The work provides the possibility to develop skills in microbiology, data
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quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive