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Proficiency in programming languages such as C, C++ and Python We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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analytical chemistry, particularly GC-MS analysis of trace volatiles Good communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is
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. Applicants should have strong familiarity with data analysis in Python and/or R. Desired Qualifications* Familiarity with Spanish and/or Mandarin will be an added benefit (but is not a requirement). Modes of
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experience. Significant postdoctoral or equivalent industrial experience demonstrating research and technical excellence. Strong expertise in: Backend development (Python, Node.js, Go, or similar), Frontend
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/NS3, supported by strong software programming skills in either Matlab, Python, or C/C++. Selection process Selection criteria: Curricular evaluation (100%) - the evaluation of the application will focus
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University and the broader NYC cognitive science community. Responsibilities Include: Research & Analysis Develop and maintain Python-based pipelines for large-scale data processing (images/video, text
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., using Python and/or MATLAB). Ability to work effectively in an interdisciplinary team and communicate clearly across disciplines. Experience handling large datasets and using reproducible analysis
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, environmental sciences, geoinformatics, or a related discipline. Proficiency in advanced learning techniques and statistical modeling. Strong programming skills in languages like Python or R. Professional
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working with high-dimensional, multi-country or time-series datasets sound programming skills, with a strong preference for MATLAB; experience in other scientific programming languages (e.g. Python, R) is