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facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical
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, Python or Bash programming languages) as well as experience in analysing sequencing data with cluster computing environments. Experience with molecular dating methods and nanopore sequencing is considered
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approach to trainee development and mentorship within the team. Ability to design, execute, and troubleshoot experiments to a high technical standard, with strong data analysis and interpretation skills
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the candidate's background and interests, ensuring a collaborative and engaging research experience. We seek candidates who have completed a PhD in ecological statistics or environmental economics or a related
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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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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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researchers whose expertise is complementary. Applicants may be primarily experimental or computational. We are especially interested in candidates who can cover a strong combination of skills (not necessarily
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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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doctoral degree in computer science, digital humanities or a related field, and have a keen interest in multimodality and audiovisual media. Previous experience of applying computational methods to large