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low- and middle-income countries. Obtaining accurate and complex measurement for reliable detection of fetal growth restriction requires a high level of expertise, limiting the analysis to specialized
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skills in innovative high-tech technologies, advanced data analysis tools and artificial intelligence, organ-on-chip MRD models, and drug and immunotherapy testing, and will come up with innovative ideas
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training to excel in advanced data analysis methods (e.g., GWAS, polygenic scoring, machine learning, advanced EEG analyses, multi-site statistics) and support you in navigating interdisciplinary research
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with histocytometry analysis to elucidate spatial distributions of immune parameters in the dynamic tumor microenvironment; You will perform biomarker analysis in serum of melanoma patients; You will use
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, Biomedical Engineering, or related field; You demonstrate strong programming skills in Python and have experience with deep learning frameworks such as PyTorch; You have experience in medical image analysis
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environment. Preferred Qualifications: Experience with workflow management systems (e.g., Snakemake, Nextflow). Knowledge of statistical and machine learning techniques for genomic data analysis. Experience
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people in both the Netherlands and the United Kingdom. Qualitative data analysis to construct expert, patient and lay person mental models associated with the intervention, and identify potential ethical
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. Analysis of these failures has top priority, since they may directly lead to more adverse outcomes. A growing community of researchers advocates for a causal inference perspective on prediction modeling
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, CRISPR gene editing and molecular biology; Advanced imaging methods including live cell imaging of synapse and network function, electron microscopy and cellomics; Quantitative analysis of biochemical and