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Department: Department of Physics Regime Full-time Let’s shape the future - University of Antwerp The University of Antwerp is a dynamic, forward-thinking, European university. We offer an innovative academic education to more than 20000 students, conduct pioneering scientific research and play...
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, storage and demand. YOUR TASKS You will develop mathematical models and metaheuristic algorithms for complex optimization problems in the context described above, see e.g., https://arxiv.org/abs/2503.01325
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learning algorithms. The two PhD students hired through this vacancy will primarily contribute to the development of debiased learning methods and assumption-lean modeling tools, and their application
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. Digital Extraction from Historical Taxonomic Literature Application of OCR and machine learning algorithms to digitize printed and handwritten documents; Linking specimen mentions in literature to digital
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. Defining predictive tasks based on clinical goals. Selecting and setting up appropriate data preprocessing pipelines. Training and evaluation of computer vision models. Internal and external algorithmic
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theoretical background for MIMO related research, and have attended courses such as Information Theory, Signal and Systems, Modulation and Detection. Experience with OFDM or single carrier baseband algorithms
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gatekeepers: from individual trophic groups to complex communities” Description Soil biology has received overwhelming and ever increasing attention in recent years at national, European and global level, with
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Sciences, Biochemistry and Biotechnology, or a related field. You must meet the diploma requirements at the time of appointment. You have a strong knowledge of molecular biology and genetics. You have an
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this document: https://www.fwo.be/media/4nrfwqja/asp-study-results-and-percentiles.pdf Job profile You hold a master degree in science in the domain of Applied Biological Sciences, Biology or any related field
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Masters, or Honours, degree in Bioscience Engineering, Biology, Ecology, Forestry or equivalent degree in Life or Mathematical Sciences with background in Ecology. Also candidates that will obtain