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, and integrative analysis of metabolomics and other omics data, with applications in cardiovascular and metabolic diseases. The successful candidate will contribute to interdisciplinary research
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; • Experience in data analysis and visualization. Minimum requirements: • Experience in Python; • Knowledge of optimization algorithms; • Knowledge of modelling or simulation. 5. EVALUATION OF APPLICATIONS AND
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grantsmanship and project management skills. He or she can perform data analysis/data visualization and willingly learns from others and shares knowledge with others. He or she fits into, supports, and builds up
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quantitative analysis to determine their pharmacological and sensory properties. A major strength of the project is its integration of molecular pharmacology with evolutionary and organismal biology. You will
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using single electron redox processes. Key Responsibilities: Daily experiments and analysis of the collected data To supervise junior graduate students and undergraduate researchers To submit weekly
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competency in qualitative and quantitative data analysis; strong proficiency in written and spoken English and Cantonese. Knowledge and experience in conducting research in social welfare and private sectors
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, facilitating continuous improvements to mental health services for the benefit of young people in Australia. Your key responsibilities will be to: undertake analysis of clinical, biological, and behavioural data
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carbon air travel in Hong Kong”. They will be required to be involved real-time monitoring of the new biorefinery process for SAF production, signal/data analysis, AI-assisted modelling, sensor and data
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datasets associated with heat and other extreme weather events. Observe and collaborate on the evaluation and enhancement of extreme weather and health data visualization tools, including the HeatRisk Tool
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 3 hours ago
, bioinformatics, computer science, biomedical informatics, statistical genetics, biostatistics, statistics, engineering, or a related field. Expertise in at least one of the following areas: textual analysis