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pipelines for processing and visualizing large-scale proteogenomics, MS-based immunopeptidomics/proteomics data. Ensure reproducibility and scalability of workflows using modern workflow tools (es
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criteria: A PhD (obtained, or nearly completed) in Natural Language Processing or a closely related area. Solid knowledge of machine learning, especially deep learning. Experience in model development
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; Support method development, data interpretation, manuscript preparation, and grant writing. Your qualities Required qualifications and experience PhD in Proteomics, Analytical Chemistry, Biochemistry
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enabled by onboard SAR processing. This fellowship will address these challenges by developing AI-based methods for onboard SAR data processing operating close to the sensing level, enabling real-time
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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characterize subsurface structures, buried infrastructure, and material properties; · develop and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction
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control or thermal instrumentation; image processing and data analysis using Python, MATLAB or similar tools; modelling using COMSOL, OpenFOAM or similar software. Our offer We encourage high
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Employment 0.8 FTE Gross monthly salary € 4,925 - € 6,682 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 13 October 2026 Apply now Are you passionate
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team. Applicants should hold a PhD degree in Earth Sciences, Environmental Science, Marine Sciences or a related discipline by the time the position starts. More specific, you have: Experience in
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Max Planck Institute for Psycholinguistics | Nijmegen, Provincie Gelderland | Netherlands | about 1 month ago
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including