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Field
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If you are eager to perform cutting-edge molecular modeling to accelerate the development of green and low-carbon hydrogen technologies, then this is position is for you. Job description You will
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interpretable models of molecular disease mechanisms, with a focus on identifying proteins and pathways involved in cardiovascular disease. PhD project: Causal multi-omics modeling of disease biology We
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of the molecular and cellular events that lead to vascular calcification in chronic kidney disease. Animal models for chronic kidney disease or diabetic mice will be performed to mimic human relevant diseases. By
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mouse models, primary astrocyte culture, transcriptomics, and advanced imaging, you will identify the molecular signals linking neuronal JAKMIP1 dysfunction to altered astrocyte behaviour. Training across
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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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with LP2M teams (immunology, iPSC models) as well as from the project's international clinical and scientific network (Prof. Claus Peter Schmitt, Heidelberg; UCA GenomiX and MICA platforms, Nice
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biology, immunology, or a related field, with experience in animal models, molecular and cellular biology, and biochemical techniques. The successful candidate is expected to work independently while
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white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
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interpretable models that connect molecular patterns across multiple scales of human biology. The project lies at the interface of artificial intelligence, computational biology, systems medicine, and precision
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demonstration of a DNA-based stack data structure and recent advances in optimisation for DNA nanotechnology, the project will design, model, implement, and experimentally validate novel molecular data structures