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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics
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PhD thesis Your work may also include teaching duties (at most 5% of annual working time). Requirements and eligibility criteria For the Doctoral Researcher’s position, the appointee is expected to have
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, calibration, and the development of analysis tools and software. Our key focus areas are the physics of jets, top quarks, and EWSB, including the development of novel machine-learning methods for high-energy
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the entire population. The project utilises advanced statistical methods such as multilevel models (mixed models), fixed-effects models, cluster analysis, and sequence analysis. The selected researcher is
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is looking for a postdoctoral researcher, doctoral researcher or project researcher to develop machine learning methods for health data analytics. The fixed term position starts on mutual agreement
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studies and research work leading to a completed PhD thesis Your work may also include teaching duties (at most 5% of annual working time). Requirements and eligibility criteria For the Doctoral
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. Should you have any questions, need assistance or adjustments during the recruitment process, please contact phd-positions@helsinki.fi – we’re here to support you. A diverse and equitable study and work
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compared with observations, offering a powerful way to test our theories. The combination of novel AI methods and broad statistical analyses will help us pinpoint the exact roles of solar flares and coronal
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menu at the top of the page to see detailed instructions. Should you have any questions, need assistance or adjustments during the recruitment process, please contact phd-positions@helsinki.fi – we’re
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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored