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mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
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31st May 2025 Languages English English Norsk Nynorsk English Postdoctoral Research Fellow position within Algorithms and Extremal Combinatorics Apply for this job See advertisement UiB - Knowledge
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techniques which have traditionally been employed. As artificial intelligence becomes increasingly ingrained in the society, it is crucial to ensure that the machine learning algorithms not only make correct
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information of the data to make a prediction using advanced mathematical tools. This insight opens the door for enjoying the real world. The candidate further develops efficient and robust algorithms
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develops efficient and robust algorithms for realistic settings in terms of data and computing resources and collaborates to address major challenges in important applications including marine domain and
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, the appointed candidate will work closely with the line manager to develop novel control algorithms in EAP soft robotics combining Gaussian Predictors, hands-on laboratory experiments and JULIA computing
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] Subject Area: Computational Sciences Appl Deadline: 2025/06/18 11:59PM (posted 2025/04/30, updated 2025/04/29, listed until 2025/06/18) Position Description: Apply Position Description Research Fellow
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Condensed Matter Physics and Materials Sciences o Theoretical and Computational Biophysics o Soft Matter Physics o Physical Chemistry and Theoretical Chemistry o Combinatorics, Algorithm, Extremal Graph
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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience