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design and analyse separation processes, develop data-driven or AI-assisted tools, or generate high-quality experimental data that supports method development, modelling, and machine learning. You will
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positioning in an industrially-funded research project and will enroll as a PhD student at Tampere University in the Electrical Engineering Unit of the Faculty of Information Technology and Communication
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analysis methods and software, and expertise in geographic information analysis methods are considered an advantage. The position requires excellent Finnish language skills and proven ability to produce
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, education and way of working : MS, or PhD in Biological Sciences, Biochemistry or closely related field with typically 10+ (MS) or 4+ (PhD) years of postdoc or industry related experience. Strong
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++), numerical methods, and good software practices Real-time simulation, digital twins, or HIL/SIL environments, which will be considered an asset Research focus In this position, you will develop and test novel
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experimentation to develop integrative metamodeling approaches, qualitative systems analysis methods and causal graph-based solutions for machine learning. The team aims to advance innovative and robust solutions
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following educational and professional work experiences: PhD degree in immunology, immuno oncology or related field with 3+ years of industry or academic research experience. Broad and deep knowledge in
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employment. Position description The successful candidate will work within the research project “Advances in generalized Bayesian inference via differential-geometric methods” funded by the Research Council
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discipline). You should master the most important statistical methods of medical research and statistical software tools and be fluent in written and spoken English. You should also have good organizational
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of the degree program in business studies at the Faculty of Management and Business . We provide an internationally standardized Economics program at Bachelor, Master and PhD levels. Our research