13 machine-learning-phd Postdoctoral positions at UNIVERSITY OF HELSINKI in Ireland-University-Ranking-2024
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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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and qualifications A PhD degree in computational biology, machine learning, computer science, data science, bioinformatics, or a related discipline Demonstrated machine learning experience in form
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supervision of Master’s students and PhD researchers. Take part in open science and code sharing. Skills, expertise and qualifications A PhD degree in computational biology, machine learning, computer science
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Motivated, ambitious and self-driven candidates with a PhD degree in a relevant field (chemistry or related) interested in metal recycling are encouraged to apply. Experience in the fields of coordination
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treatment resistance in ovarian cancer. Vähärautio lab (https://vaharautiolab.org/) at the Medical Faculty, University of Helsinki, is seeking a bioinformatician or a computer scientist with strong
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to maintaining a collaborative and supportive research environment. Your qualifications We are looking for an ambitious and highly motivated scientist with: A PhD in molecular biology, genetics, stem cell biology
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institute. The employment of the PhD researcher must be full-time (100%) and continuous. Research or part of it can be conducted outside the University of Helsinki, for example, in a governmental research
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to the climate crisis. We expect the successful candidate to have: completed a PhD in any area related to climate democracy, broadly defined, including humanities, social sciences, and/or natural sciences
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, who is excited to contribute to an ambitious international research project. The successful applicant must have: A PhD (completed before the start of employment) in ecology, evolutionary biology
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to sustainability. Communicating the results in scientific publications and conference presentations Co-supervising PhD and MSc students working on the project Contributing to new research ideas and (co)-applying