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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Sylt Ost, Schleswig Holstein | Germany | 12 days ago
with quantitative data analysis using R, Python, MATLAB or comparable software; GIS experience is advantageous Very good command of English (approximately equivalent to CEFR level C1); knowledge
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. You have excellent English language skills. You have notions of Dutch, Finnish or Italian, or are willing to acquire these. You pay attention to details and act with attention to quality and integrity
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decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch energy
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Join the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research
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in one) will be a plus. Background in statistical learning, data analysis, or cybersecurity. Programming skills Proficiency in English [Optional] Experience with NLP or text analysis [Optional
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organizes social activities, networking and upskilling events, and an annual PhD Symposium. Curious to know more? Learn all about what it means to start a PhD at VIB in our PhD Guidebook , written
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thinker, eager to learn new experimental techniques, and enjoy collaborating with researchers from different disciplines as well as industrial partners. Furthermore, you meet the following requirements: You
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Job description We invite applications for a fully funded PhD position in the area of Scientific Machine Learning (SciML), which integrates data-driven machine learning techniques with established
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unpredictability such as entropy. You will also investigate the robustness of these mechanisms to disturbances and assess whether transmission patterns can be learned from external observations. This position is
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28th September 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in information fusion and data assimilation for ocean space utilization