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Field
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development in grid-forming converters, power electronics, and advanced energy systems. The role involves the design, modelling, control, implementation, and experimental validation of grid-forming power
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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related analyses. Below are the potential research topics to be conducted by the researcher: Modeling of energy systems adopting hydrogen and ammonia, and their supply chains Proposal and evaluation
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. The Sun Lab uses multidisciplinary approaches, spanning microbial genetics, cell biology, immunology, high-throughput screening, omics, and in vivo models, to study host immunity to pathogens (such as
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, Netherlands (1 month): training in the CircAdapt cardiovascular modelling platform and model personalisation methods. Where to apply Website https://2411.webcruiter.no/Main2/Recruit/Public/5167521419
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requirements at the energy edge. Further, you will incorporate compliance-by-design AI architectures and models and validate our solutions across key energy use cases such as energy market optimization (demand
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, and open science. Stem Cell Biology and Disease Modelling Experience working with human induced pluripotent stem cells (hiPSCs),human brain organoids, cerebral organoids, or neural assembloids and
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and the African turquoise killifish to model human cardiovascular diseases, polycystic kidney disease (PKD), and cardiac aging. Our research aims to uncover the molecular and cellular mechanisms
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cell populations using spatial transcriptomics. Mechanisms by which bacteria modulate the tumor microenvironment will be studied using orthotopic mouse models, with a focus on myeloid cell populations