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full-time fellowship is crafted for early-career technical scholars with a strong interest in energy policy design and implementation. It offers a hands-on opportunity to apply your scientific skills and
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study, or multiple smaller projects in the field of power grid monitoring and large system dynamics analysis. This includes developing research designs, constructing data collection methods, and deploying
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in cancer immunology and tumor biology preferably for colorectal cancer. Preferably also a strong background in host-gut microbiota interactions in human cancer. Ability to design, execute, analyze
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PhD degree (or expected PhD) with experience in organic synthesis and medicinal chemistry. Required experience includes organic reaction design and execution, chromatography, spectroscopic evaluation
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part of the PLI core principles and design team - composed of best-in-class faculty, research fellows, research scientists, research software engineers, postdocs and graduate students - and will have
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comprehensive benefits package. Primary responsibilities include: Design and fabricate geomaterial-inspired microfluidic chips. Conduct microfluidic experiments with Micron-resolution PIV (µPIV) system Perform
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are critical tools for the design and analysis of interfacial materials and will play a vital role in this research. In this role, the postdoctoral fellow is expected to work with domain experts and experimental
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Postdoc in CRISPR Meta-Analytics and AI for Therapeutic Target Discovery and Priotisation (OT Grant)
tools, and design and implement novel methods to support data analysis, curation, interpretation, and exploitation for target discovery and prioritisation. The chosen candidate will work alongside other
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including molecular biology techniques, cellular imaging and genomics. A successful candidate will contribute to all aspects of the project, including experimental design, analysis, data interpretation
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embryos following animal sacrifice). Extensive experience designing then executing complementary assays to study the placenta using human samples, such as trophoblast isolation from first trimester