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Field
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Economic and Social Action Committee after 6 months of service Molecular data storage relies on the ability to write and read digital information encoded onto large molecules. Recently, digital synthetic
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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methods for causal inference using large-scale observational healthcare data. The project will address fundamental methodological challenges in estimating causal treatment effects from longitudinal
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using large administrative datasets Preparing analytic datasets and documenting data management procedures Developing statistical code and producing tables, figures, and technical appendices Contributing
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models that combine anatomical and hemodynamic information derived from routine clinical imaging. By providing quantitative insights into coronary anatomy, blood flow, pressure, and wall shear stress
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insights into why mobility deteriorates during daily activities and how fatigue limits participation. This project is embedded within the NWO-TTW funded Care is Coming Home programme. This large
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who are motivated to translate large-scale genomic data into meaningful biological and clinical insights. Terms of Employment The employment consists of 3 years as PhD fellow. Starting date is December
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applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (http://biennialreport2018-2019
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18 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Electrical engineering Engineering » Mechanical engineering Physics » Applied
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the guidance of your daily supervisors Dedmer van de Waal and Mandy Velthuis. You will develop a PhD thesis plan, prepare and perform the research, analyze the data, present your results at meetings and