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, automatic testing, program synthesis Excellent background and experience in programming language, especially python Good communication and report-writing skills Strong responsibility for research and work We
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studies, QTL studies, colocalization, Mendelian Randomization) Proficient in R, Python, Linux/Unix Command over commonly used genetics (e.g., PLINK, GCTA, FUMA, variant predictor tools) and metagenomics
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gdsfactory. Knowledgeable in MATLAB and Python is necessary. Knowledgeable in Ansys Lumerical FDTD, MODE, INTERCONNECT, CML COMPILER, MULTIPHYSICS We regret that only shortlisted candidates will be notified
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Excellent publication track record on top tier conferences/journals Proficiency in programming language Python Excellent verbal and written communication skills We regret to inform that only shortlisted
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such as Python We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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, Physics, Computer Science, or a related field. Hands-on experience with computational materials methods (e.g., DFT, molecular dynamics, machine learning force field simulations). Proficiency in Python
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cancer genomics and functional interpretation of genetic variants Proficiency in Python, R, or other bioinformatics languages Knowledge of cloud computing, and high-performance computing (HPC) environments
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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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Python for stimulus presentation and data analysis Conduct statistical analysis using software such as SPSS, R or Python to support data interpretation and research findings Collaborate with and provide
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-of-the-art AI techniques. Mastering of a programming language would be valued (e.g. Python, Matlab…) Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player