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of invertebrate specimens (4) stable isotope analysis of leaf litter and soil samples. Findings of the study will improve our understanding of nutrient cycling processes in urban parks and forests, while also
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. Collaborate with a multidisciplinary team to ensure seamless operation of perception and control systems. Conduct experiments in real-world and simulated environments, with a focus on high-speed performance
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discovery and energy applications. The role involves investigating the electronic structure and surface properties of energy-related materials, with a focus on catalytic interfaces, adsorption processes, and
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computer and data scientists, computational biologists, educationists and technologists. There are ample opportunities for various cross-domain ventures. Key Responsibilities: Deliver international standards
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processing would be an advantage. Proficiency in statistical software (e.g., R, Python, SAS, or Stata). Experience with clinical informatics approaches (e.g., cluster analysis, machine learning, Bayesian
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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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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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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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spatial data processing and analysis skills would be of advantage. Expertise in Stata, R, or other analytic tools. Strong communication (oral and written) and interpersonal skills, experience working in a