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parameters to identify regimes that ensure both flame stability and low pollutant emissions. Machine learning techniques have recently shown promise for Design of Experiments (DoE) and interpretation of large
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learning, or signal processing; familiarity with microscopy data is an asset but not required Interest in foundational machine learning research with applied impact in scientific imaging Demonstrated
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that exhibit emergent turbulent behaviors, and (2) disordered optical media that process information through complex light scattering patterns. Using advanced imaging, machine learning techniques, and real-time
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positively valued: programming languages (Python, JavaScript), data analysis software techniques and tools, machine/deep learning (Pandas, SHAP , TensorFlow, etc.) and specific to image analysis, statistics
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approaches. STROUSTRUP LAB Aging |Biomarker | Quantitative Imaging | Statistical modelling | Machine Learning | Molecular Genetics Our Research Our group studies the molecular origins of aging, working
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principles that regulate host-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine learning tools. A specific focus will be put
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, communication systems, and machine learning. Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate
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science, engineering, physics, mathematics or a similar domain. There is a strong preference for an applicant with a biomedical background. Experience with medical image processing, histopathology, computer vision
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consider novel design principles combining approaches in biosensors, communication systems, and machine learning. Are you motivated to take a step towards a doctorate and open up exciting career
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engineering Engineering » Design engineering Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 5 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable