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(Kingdom of the) [map ] Subject Areas: Stochastics, artificial intelligence and machine learning Appl Deadline: 2025/06/02 11:59PM (posted 2025/04/02, listed until 2025/06/03) Position Description: Apply
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statistical methods; will seek out and learn new methods to better solve problems > Experience with modern AI techniques and methods or desire to work on Applied Machine Learning Problems > Constantly questions
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Social and Everyday explainability; application of Machine Learning (such as Reinforcement Learning), Symbolic AI techniques (such as formal systems), or NLP techniques, in Human-AI collaboration; Human
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observations. Your major challenge is in model development, and there is room for you to develop machine learning applications in the field of firn modelling. If successful, your work will lay the foundation
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for biotechnology and metabolic engineering. As part of the project, you will have the chance to use cutting-edge techniques, including super-resolution microscopy (PALM, Smdm), single-particle tracking, machine
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of biased decision-making in machine learning (ML)? This PhD position offers a unique opportunity to contribute to cutting-edge research in algorithmic fairness, ensuring that automated decision-making
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Job related to staff position within a Research Infrastructure? No Offer Description Are you an aspiring researcher with strong skills in statistics, machine learning or data science and a keen interest
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modelling, and an ability to learn new concepts and (computational) methods as needed Affinity with scientific computer programming (e.g., R, Matlab, Python) Proficient communication skills in spoken and