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. The working hours are 15 hours per month. Your tasks will include supporting in the data collection and preparation and also good knowledge of statistics experience in programming with the tools R, Python
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experience in photonic device design, numerical simulation, and layout. Proficiency with relevant design and simulation tools, such as Ansys Lumerical, COMSOL, MATLAB, or Python. Hands-on experience in
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• Has strong background in optimization methods. • Is proficient in programming econometric models in R, Python, or MATLAB. • Good written and verbal communication skills. • Candidates without
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theoretical results. Proficiency in Python, MATLAB, or Julia for numerical work. Excellent communication skills, ability to work independently and in international collaborations, and willingness to travel
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, including analysis of genomic/metagenomic/transcriptomic data, would be an advantage. Experience with R, Python, Linux/Unix, sequence-analysis tools, or biological databases is an advantage. Good analytical
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.). Proficiency in hard skills: optical thin-film simulation, micro/nano fabrication, optical path construction, data analysis, and programming (MATLAB/Python etc.). Competent in soft skills: independent problem
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project, you will prepare tabular and time series datasets, implement Python-based forecasting and regression experiments, test AI-assisted workflow components, and prepare technical outputs for project
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statistical and mathematical programming in R and Python in a Linux environment, and develops reports, visual representations, and draft results for principal investigator review. The incumbent collaborates
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analysis and AI agent development; (c) knowledge of Python, PHP, C++, C#, JavaScript, RDBMS or large language models; and (d) good communication skills. Preference will be given to those with
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, or quantitative biomedical research Strong programming and data-analysis skills in MATLAB and/or Python Demonstrated ability to independently design experiments, troubleshoot complex technical problems, analyze