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(linking phenotypes, imaging, cytometry, or other readouts to transcriptomics) Statistics / machine learning for biological inference (model validation, differential state testing, embeddings/classifiers
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tested and validated to electrochemical systems. The position involves computational method development, scientific software engineering, and large-scale simulations on high-performance computing platforms
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and artificial intelligence methods, targeted validation experiments. The project is funded by The Research Council of Finland. In the first stages of the project the research tasks include test and
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experiments. The project is funded by The Research Council of Finland. In the first stages of the project the research tasks include test and extend group contribution methods for predicting aerosol-relevant
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-year contract). A six-month trial period will be applied. The post-doctoral researcher (position 2 in environmental psychology) will participate in a project to examine the barriers, enablers and
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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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factors, input prices, and externalities to waterbodies. Some of the modelled adaptation measures will be tested in field experiments. We will test rainfed and irrigated system combined with diversified
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feasibility tests in the wild collaborating closely with researchers and clinicians to prepare for autonomous data collection in the training centers and/or operating rooms visiting project’s international