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, such as FWO Access to state-of-the-art facilities and training in advanced techniques. Opportunities for career development, networking, and mentorship. Support for presenting at international conferences
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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progress reporting to the supervisory committee, according to the regulations of the Arenberg Doctoral School. As a doctoral scholar you will receive a generous, tax-free bursary equivalent to the net salary
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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with or experience in any of the following topics is valuable: optics (lab work, design), mechanics (e.g. CAD software), software (e.g. Python scripting), astronomical/spectroscopic data reduction and
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from data analysis. First, binary classification models will be trained using μCT data to distinguish between acceptable and defective parts. Porosity size will be used to define acceptable vs
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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12 months, which - after a positive evaluation, will be extended to a total maximum of 48 months. Your contract will start on 01/11/25 at the earliest. The fellowship amount is 100% of the net salary
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here for the duration of the appointment. Additional assets: Experience with LCA software (e.g., openLCA, SimaPro, Brightway) and environmental databases (e.g., ecoinvent). Familiarity with (marine
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cutting-edge research infrastructure, close supervision by Prof. Spits and Prof. Olsen, plus access to a broad international network of collaborators, a dynamic, supportive, and family-friendly lab culture