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or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge relevant to the project domain. Demonstrated
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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functional interpretation of genetic variants. Proficiency in Python, R, or other bioinformatics languages. Knowledge of cloud computing, and high-performance computing (HPC) environments. Strong ability
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microscopes is also relevant. Working knowledge of electromagnetic simulations Good written and oral communication skills Competent in teamwork and presenting results in informative visuals Interpersonal skill
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-injection techniques, solvothermal/hydrothermal growth, and sol-gel processes. Expertise in semiconductor material characterization (XRD, SEM, TEM, EQE, PL, UV-Vis spectroscopy). Knowledge and experience in
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mentor undergraduate and PhD students, as well as junior research staff, equipping them with the necessary skills and knowledge to contribute effectively. Collaborate with interdisciplinary teams
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Qualification Requirements: PhD (or equivalent) in clinical epidemiology, statistics, clinical endocrinology. Strong research experience in endocrinology and diabetes is desirable. Knowledge of biological sample
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-end technologies (e.g., Node.js, Python/Django/Flask, REST APIs, SQL/NoSQL databases) Demonstrated knowledge of AI/ML methods, such as supervised learning, NLP, or deep learning, with application
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authenticity, accountability, and integrity of digital content. Strong knowledge of machine learning and deep learning techniques, including machine unlearning, and AI testing. Ability to communicate complex
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teamwork and verbal, written communication skills Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents. In-depth knowledge relevant to the project