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will be admitted to postgraduate education. Eligible for admission to postgraduate education is a person who has completed a degree at an advanced level in a technical, mathematical, or scientific field
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of Computer Science and Media Technology and Materials Science and Applied Mathematics. The faculty collaborates with companies and other organizations with the aim of raising the level of expertise, creating new
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. Specific merits: experiences in (bio)medical data analysis (e.g. molecular or microbiota data) and/or mathematical modelling methods, AI and machine learning methods. Master's level in either
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the field, for example in computational biology, mathematical modelling and simulations, bioinformatics of large-scale datasets. The candidate will be evaluated with regard to: 1) Scientific excellence 2
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documented international research experience, a demonstrated potential for creativity and a high degree of excellence in the field, for example in computational biology, mathematical modelling and simulations
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with education in quantitative methods from e.g. mathematics, systems science or computer science. Good skills in using quantitative analysis tools within one or more of the following methods
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: Bachelor's or Master's degree in statistics, mathematical statistics or medical statistics. Good knowledge and experience in statistical programming software (R, SAS, or Stata). At least three years of
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, you should have: A Master of Science degree in Mechanical Engineering, Mathematics, Physics, or in relevant fields of fluid/structure dynamics and acoustics. Very good knowledge of English, both spoken
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5 Sep 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Mathematics » Statistics Researcher Profile First Stage Researcher (R1
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5 Sep 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Engineering » Biomedical engineering Engineering » Other Medical sciences » Other Physics » Biophysics Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 5 Oct 2025 -...