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research will focus on developing and experimentally validating probabilistic 3D camera calibration and AI-based threat detection methods—combining simulation, synthetic data generation, and multi-sensor
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Let’s shape the future
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Week 38 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Let’s shape
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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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(100%) doctoral scholarship holder in the field of Vaccine Immunology and Omics technologies. Position You will actively prepare and defend a PhD thesis in the field of vaccine immunology with a specific
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trajectories of individuals and households with a migration background in Belgium, focusing on hazard and microsimulation models of demographic events in multiple life domains. You contribute to the development
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will push the development of these analytical methods, including applications to complex biological samples and investigation of the ionisation process. You will collaborate with researchers at other
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predictive microstructure imaging with MRI. Within the ADAMI project, you will develop and optimize an integrated image analysis pipeline to quantify the neural and glial cell composition of brain regions
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the genetic etiology and developing diagnostics and treatment methods for these diseases. Approaches range from human genetics, genomics, protein biochemistry and neuronal and glial cell biology to integrative
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developing the technologies that are needed to enable the large deployment of CO2 electrolyzers on the market. More specifically, you will devise strategies for mitigating salt precipitation via innovative