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modeling. Proficiency in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow. Experience handling large geospatial, atmospheric, or remote sensing datasets is preferred. Strong
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statistical/computational analysis (e.g. R, Python, ELAN); Strong written and oral communication skills; Ability to work independently and collaboratively across disciplines. We regret to inform that only
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that is reflected in applicants' publication record. Skills and Experience: Programming in Python (must), Image processing (desirable). Basics of Si Microfabrication and familiarity with lithography
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methods for additive manufacturing applications, including ANNs and evolutionary genetic algorithms for process optimization supported by programming knowledge (e.g. Matlab, Python). Hands-on experience
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, such as C, C++, Fortran, and Python. Strong written and verbal communication skills Strong publication record We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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tools such as R, Python, SPSS, Stata, or equivalent. Familiarity with Generative AI applications, prompt engineering, chatbot technologies, or learning analytics is advantageous. Strong academic writing
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engineering / technical hands-on experience soundscape evaluation Familiarity with soundscape ISO standards Good written and oral communication skills Proficiency in AI (python) programming and R programming
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Hydrology, Computing, Earth science or a related field Proficiency in remote sensing, geographic information systems, and statistics Proficiency in programming with Python, R, and Google Earth Engine Minimum
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programming (e.g. Python, MATLAB or R) Experience applying advanced analytical techniques, including machine learning, to complex datasets Experience with neuroimaging analysis (MRI/fMRI) is desirable Strong
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/ab initio workflows (Gaussian, ATK, CASTEP) and beyond - Mathematica, Python, Fortran implementations; UNIX/Linux environments • Collaborate with experimental groups and other theorists to design