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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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Employment 1.0 FTE Gross monthly salary € 4,925 - € 6,682 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 22 October 2026 Apply now Do you want to
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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