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and data pipelines to enable real-time data acquisition and closed-loop control. Collaborate with AI researchers to implement machine learning models for adaptive experimental design and autonomous
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) data across a number of different tumor types. The ultimate aim is to derive a number of lead compounds to take forward to advanced in vitro and in vivo studies. Working within a multidisciplinary
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order to ensure continuous development of knowledge in the subject area. We offer a supportive research environment, where you can join external networks to share information and identify potential
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) data across a number of different tumor types. The ultimate aim is to derive a number of lead compounds to take forward to advanced in vitro and in vivo studies. Working within a multidisciplinary
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use the algorithms in practice, when little to no assumptions can be made on the data. Required Qualifications PhD in computer science, mathematics, statistics, or related fields (by the start date
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. Zou Xiang at telephone number 3400 8574 or via email at xiang.y.zou@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing
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at telephone number 2766 6608 or via email at mfcytang@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is
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, Plant Science, Environmental Science, or a related field. Expertise in microbiome data analysis, metagenomics, or metaproteomics. Proficiency in bioinformatics tools for multi-omics data processing Strong
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (HSRPH/SS) Posting Start Date: 29/09/2025 Job Description: Job Description This individual will provide administrative and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 4 hours ago
and optimize drug-induced liver injury (DILI) analysis methods to address poor data quality issues. Training activities will include collating DILI subjects from 2024 approved NDAs/BLAs, analyzing