Stef S.
Senior Software Engineer at Netherlands eScience Center- Claim this Profile
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Dutch Native or bilingual proficiency
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English Full professional proficiency
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German Limited working proficiency
Topline Score
Bio
Credentials
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Databases: Modeling and Theory
edXMay, 2022- Nov, 2024 -
Databases: Semistructured Data
edXMay, 2022- Nov, 2024 -
Databases: Advanced Topics in SQL
edXApr, 2022- Nov, 2024 -
Databases: OLAP and Recursion
edXApr, 2022- Nov, 2024 -
Databases: Relational Databases and SQL
edXApr, 2022- Nov, 2024 -
Machine Learning
CourseraDec, 2021- Nov, 2024
Experience
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Netherlands eScience Center
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Netherlands
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Research
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1 - 100 Employee
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Senior Software Engineer
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Aug 2020 - Present
- Open-source scientific software development - Data engineering, Python, data visualization, API development, image/data analysis pipelines, Jupyter Notebooks and dashboards, docker - Open-source scientific software development - Data engineering, Python, data visualization, API development, image/data analysis pipelines, Jupyter Notebooks and dashboards, docker
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Delft University of Technology
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Netherlands
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Research Services
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700 & Above Employee
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Postdoctoral Research Scientist
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Jan 2019 - Jul 2020
- Design protocols for automated data-acquisition using electron microscopes - Develop API to control electron microscope from a Jupyter Notebook - Implement image stitching algorithm - Develop neural network based image segmentation for particle detection - Design protocols for automated data-acquisition using electron microscopes - Develop API to control electron microscope from a Jupyter Notebook - Implement image stitching algorithm - Develop neural network based image segmentation for particle detection
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Stockholm University
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Sweden
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Research Services
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700 & Above Employee
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Postdoctoral Research Scientist
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Jan 2016 - Dec 2018
- Method development for electron crystallography / MicroED - Develop high-throughput data acquisition methods for electron microscopes - Implement Python API for hardware control of electron microscopes - Design data processing pipeline using hierarchical cluster analylsis - Method development for electron crystallography / MicroED - Develop high-throughput data acquisition methods for electron microscopes - Implement Python API for hardware control of electron microscopes - Design data processing pipeline using hierarchical cluster analylsis
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ETH Zürich
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Switzerland
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Higher Education
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700 & Above Employee
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Postdoctoral Researcher
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Nov 2015 - Dec 2015
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Research Assistant
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Nov 2011 - Nov 2015
- Combine computational and experimental methods for materials characterization- Collect and analyze X-ray diffraction data to characterize industrial catalysts- Develop data pipelines using Python for automated analysis- Teach and supervise BSc students in materials science
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Education
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ETH Zürich
Doctor of Philosophy - PhD, Materials Science -
Universiteit Utrecht / University of Utrecht
Master of Science (MSc), Nanomaterials -
Universiteit Utrecht / University of Utrecht
Bachelor of Science (BSc), Chemistry -
International School Hilversum
International Baccalaureate