21 parallel-programming "https:" "IMOST UMR 1240 INSERM" Postdoctoral positions at UNIVERSITY OF HELSINKI
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research planning skills. Rigor and precision are central to the experimental work planned. Ability to plan and carry research in the field environment. Excellent interpersonal and communication skills
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- and stem cell biology, and great synergy with renowned research groups. More information on the IMMENS and open positions available at the Åbo Akademi University in Turku can be found here: https
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the project themes. Co-coordinating academic networks and events. Public dissemination of research results (e.g. via social media). Small-scale teaching tasks (10-20%) A more detailed research / work plan will
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of Helsinki offers comprehensive services to its employees, including occupational health care and opportunities for professional development. Please read more at https://www.helsinki.fi/en/about-us/careers
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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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development (https://www.helsinki.fi/en/about-us/careers ). How to apply A response to essential criteria (max 2 pages). Please ensure you provide demonstrated experiences from your previous work in relation
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and machine learning. We focus on inductive logic programming (ILP), a form of inductive program synthesis which learns logical rules from data. The focus of this position is to develop ILP/program
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occupational health care and health insurance, unemployment and pension fund, a generous holiday package, sports facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us
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expected to actively contribute to teaching in the master’s program in social sciences, or thesis supervision and other research activities of the Institute. QUALIFICATIONS The appointee to the position must
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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