Sort by
Refine Your Search
-
laboratory management, training, and method development Requirements PhD in Earth Sciences, Chemistry, or a related field Hands-on experience with MC-ICP-MS, TIMS, and nitrogen and noble gas analysis
-
: Applicants should possess a relevant PhD degree with a solid track record in research. Candidates with strong background and research experience in molecular and cell biology, biochemistry, or genetics
-
scientifically sound. Ensure all AI models are developed with considerations for fairness, ethics, and transparency. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics
-
excellence and continuous methodological improvement. Collaborate with the Data Scientist (AI) to integrate advanced AI/ML techniques into the RWE generation pipeline. Requirements PhD degree in Epidemiology
-
. Qualifications Applicants should: (a) have a PhD degree in Bioinformatics, Bioengineering, Applied Mathematics, Computer Science or a related discipline; (b) preferably have at least two years of
-
) to integrate advanced AI/ML techniques into the RWE generation pipeline. Requirements PhD degree in Epidemiology, Data Science, Statistics, Computer Science, Informatics or related disciplines. Preferably
-
. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics, Information Systems, or a related field. Minimum of 5 years’ experience in data engineering, data ops, or AI/ML data
-
, and/or other competitive external fund, as Principal Investigator or Co-Investigator; (b) provide supervision to MPhil or PhD students; (c) provide quality teaching at undergraduate
-
when necessary. Requirements: Possess a PhD in relevant field and research scope; Strong research publication track record; Possess analytical capability and effective communication skills; and Good
-
Department. Requirements 1. A PhD degree or equivalent qualification, preferably with at least 2 years of relevant postdoctoral research experience; 2. A strong background in Mathematics/Applied