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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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image sequences. As a benchmark, end-to-end deep learning models will be developed using raw image data. In parallel, shallow learning models (e.g., Gaussian processes) will be explored based on insights
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into risk genes and molecular mechanisms in Frontotemporal Dementia (FTD), while the Sleegers lab specializes in Alzheimer’s Disease (AD), both leveraging next-generation sequencing and innovative
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the Sleegers lab specializes in Alzheimer’s Disease (AD), both leveraging next-generation sequencing and innovative biostatistical approaches. About the project FTD and AD are devastating neurodegenerative
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with the Department of Clinical Biology/Microbiology Diseases at UZ Brussel, sequencing platform BRIGHTcore and the AI Lab at the VUB. You will play a key role in the development of a novel AI-guided
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acids in both tissue and liquid biopsy samples will be investigated. Examples of techniques that will be used in this PhD project include DNA/RNA isolation, DNA/RNA sequencing, spatial transcriptomics
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monitoring and health monitoring of the different machine components. To this end, multiple dedicated measurement campaigns have been performed throughout the Belgian offshore zone. Project detail The European
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tailored to high-resolution high-throughput imaging assemble, align, optimize and validate the microscope using reference samples expand existing software with data analyses tailored to the new microscope
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contacts. Candidates who apply for multiple positions within the CHIRALNANOMAT network should mention that in their motivation letter. For more information please contact Prof. dr. Ewald Janssens, tel.: +32
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. The candidate will conduct research in archives. Based on an analysis of source material, the strategies developed to reconcile the interests of multiple bondholders will be examined. Specific attention will be