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plasma and iPSC-derived human disease models. You will investigate disease-related molecular signatures using metabolomics, lipidomics, proteomics and genomics, and combine these data using statistical and
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collaboration with the Protein Engineering research group (https://merkxlab.nl/ ) and the Institute for Complex Molecular Systems (www.tue.nl/icms ). The research group initiated and organizes the international
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. (2) Prof. Francesca Grisoni (https://molecularmachinelearning.com/ ) leads the Molecular Machine Learning Group at the Technical University Eindhoven and will lead a project on designing potent cyclic
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-relevant phenotypes using cellular, molecular, biochemical, imaging and omics approaches. These models will support compound screening and the evaluation of potential therapies. The project combines stem
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models; applying genome-editing approaches, including bridgeRNA-guided recombinases, to investigate therapeutic efficacy; using molecular techniques and in vivo mouse models to investigate disease
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metabolism and contractility. Performing functional and molecular analyses using primary rodent cardiomyocytes and human stem cell-derived cardiomyocyte models. Performing metabolic substrate uptake assays
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collaboration between the Molecular Biosensing and the Protein Engineering research groups at TU/e (see www.tue.nl/mbx and https://merkxlab.nl/ ). Their fields of expertise on continuous biosensing and protein
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Website https://www.academictransfer.com/en/jobs/364147/phd-multidimensional-analysis-o… Requirements Specific Requirements You (nearly) completed a MSc degree in a relevant area of research such as
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Vrije Universiteit Brussel (VUB) is the recruiting organisation for this position. You will be employed by the Molecular Imaging and Therapy (MITH) research group and embedded in the POLARIS
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regulators are then validated biochemically, in cellular and in vivo models of PD, and finally in human post-mortem midbrain tissue, so that you can connect a molecular mechanism to the disease itself. You