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data. YOUR TASKS UGent Crime Lab is looking for a full-time junior researcher with a quantitative background and knowledge of machine learning. You will contribute to an interdisciplinary research
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industrial Ph.D. position focused on developing scalable, Machine Learning (ML) pipelines for genomic and epigenomic biomarker discovery from Oxford Nanopore Technologies (ONT) long-read sequencing data
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renewable energy generation.KU Leuven leads Modelling and Optimization, which focuses on: Developing hybrid models combining first-principle and machine learning approaches. Creating predictive frameworks
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of VIB.AI, we are expanding our mission to harness the power of artificial intelligence for life sciences research, innovation, and impact. We are now looking for an experienced Machine Learning Expert
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are expanding our mission to harness the power of artificial intelligence for life sciences research, innovation, and impact. We are now looking for an experienced Machine Learning Expert to establish and run a
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skills and a keen interest in application-oriented academic research in applied machine learning. The selected candidate will conduct a research project on data-driven fraud detection, with the objective
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organization-specific. This poses a critical challenge for applying machine learning: there are typically only a few examples of each specific fraud pattern to learn from. Classic machine learning methods
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learning) to advance in-silico drug discovery. If you are a senior AI/MD expert with experience in applying machine learning to scientific simulation and a passion for driving innovation, we want to hear
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work actively on the preparation and defence of a PhD thesis in the crossroads between the fields of robotics, signal processing and machine learning The candidate will explore how graph-based
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of Applied Engineering is looking for a full-time (100%) doctoral scholarship holder in the field of in-air acoustic sensing and applied machine learning for building the next-generation of intelligent robotic