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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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position on GW data analysis using machine learning (ML) with expected starting date February 2026. The position focuses on using neural posterior estimation for tackling issues related to the analysis
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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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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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experience in common deep learning frameworks (e.g., PyTorch and TensorFlow) would be a benefit; The qualities to carry out independent research, demonstrated e.g., by the grades obtained in your (under
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. Machine learning will assist in artifact correction, segmentation, and material classification. By combining experimental imaging, simulation, and data-driven interpretation, this approach will deliver high
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that monitors the radiation beam in real time, learns from data how the dose evolves, and autonomously reacts to protect patients from anomalies. The work involves both experimental physics and AI modelling
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Engineering » Computer engineering Engineering » Civil engineering Geosciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Belgium Application Deadline 31 Mar 2026 - 12:00
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, Ultrasound and Vibration, Aircraft Structures, Damage Assessment, Structural Health Monitoring, Structural Health Prognosis, Bayesian Statistics, Machine Learning Informal enquiries prior to making
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: How does Autophagy degrade toxic cargo? Details: https://www.lifescience.net