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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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discipline from a strong institution. Skills: - Proficient in programming languages such as Python, with experience in using AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiar with high
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the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with statistical packages like STATA or R (STATA preferred). Skill and
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in programming languages such as R, Python, or Julia. Excellent communication and collaborative skills. Strong publication records in peer-reviewed journals is an advantage. Experience with biological
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learning methods to biological or clinical datasets. Proficiency in Python and R, with strong experience in Linux/HPC environments and workflow automation. Track record of publications in high-impact
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using R or Python and with strong command of advanced statistical methods, computational modeling, and/or NLP methods, is an asset. More Information Location: Singapore Organization: National University
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preferred: 1. Microsoft Office Applications, particularly MS Word, Excel, Powerpoint 2. Experience in R, Python The successful applicant is expected to possess at least a PhD Degree in Epidemiology, Public
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. Doctorate in Computer Science or Electrical Engineering, or expecting to receive it within six months. Experience with one or more general purpose programming languages such as C/C++, Java, or Python
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statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in-difference, PSM) o Social
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Python and R programming languages for modeling complex biological data. Preferably experience with medical imaging analysis, particularly MRI data processing and interpretation. Keen interest in