21 machine-learning-phd-in-netherland Postdoctoral positions at UNIVERSITY OF HELSINKI
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skills Competency in or willingness to learn process-based modelling Strong data management skills and proficiency with analytical tools e.g. Matlab, R, Python Previous experiences with eddy covariance
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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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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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investigation and will develop an advanced computer modeling framework. By simulating processes at various scales, from the atomistic to continuum, we aim to reveal how temperature and saturation fluctuations
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to teaching or supervision duties. Requirements The successful applicant should have a doctoral degree in statistics, mathematics, machine learning, or other relevant field, and experience in developing and
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information, visit the lab web pages: See also our recent publication: DOI: 10.1038/s41467-024-54445-1 Your qualifications We are looking for ambitious researchers with a PhD, a solid publication record, and
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RESEARCHER / DOCTORAL RESEARCHER We are looking for a postdoctoral researcher to work on our projects that involve multiple sclerosis and myasthenia gravis. Also, applications for a PhD student position are
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of the near critical Ising model, or the massive Thirring model. Qualifications We are looking for applicants with a PhD in mathematics or theoretical physics, with experience in mathematically rigorous
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facilities with access to the state-of-the art technologies. Qualifications We invite applications from candidates with a solid theoretical and wet-lab background and a PhD degree in cell/molecular biology
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technicians in designing and conducting molecular biology experiments. Writing own grant applications Skills, expertise and/or qualifications A PhD degree in any relevant field of life sciences Successfully