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platforms for diabetes, regenerative medicine and extracellular vesicles research. Responsibilities include microfluidics engineering, cell culture, processing biofluid (e.g. blood) samples and data analysis
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PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including
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informatics approaches (e.g., machine learning, Bayesian statistics) and spatial data processing and analysis skills would be of advantage. Expertise in Stata, R, or other analytic tools. Strong communication
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(e.g., machine learning, Bayesian statistics) and spatial data processing and analysis skills would be of advantage. Expertise in Stata, R, or other analytic tools. Strong communication (oral and written
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Expertise in survey designs, measurement and predictive modeling Proficiency in academic publications and presentations Responsibilities: Lead efforts in data management, processing and advanced statistical
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impactful work within the lab’s research theme on the microbiome gut brain neuroscience Exhibit proficiency in mice/rodent handling, optogenetics and behaviours, animal surgery and dissection Demonstrate
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up to about 25 MeV, and produce intense bremsstrahlung gamma-ray emission. Large-volume LaBr3(Ce) scintillation detectors and digital pulse processing are central to the gamma-ray spectroscopy system