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Field
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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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aquatic biogeochemistry and watershed-scale monitoring Fieldwork proficiency including sensor deployment Analytical and modelling skills with R or Python Excellent scientific communication Proactive
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applications in healthcare Proficiency in CAD software and 3D printing technologies Strong programming skills (e.g., Python, C++, MATLAB) Excellent written and verbal communication skills Ability to work
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., MatLab, Python, Modelica, C, ForTran, etc. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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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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physics, with experience in thin-film deposition, device fabrication, and electrical transport measurements Familiarity with the theory of magnetism Proficiency in MATLAB/Python and LabVIEW for data
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transport measurements Familiarity with the theory of magnetism Proficiency in MATLAB/Python and LabVIEW for data acquisition and analysis Good written and oral communication skills Ability to work
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quantum many-body theory with a focus on quantum impurity models (particularly Kondo model). Strong computational skills (with Python or Julia or C++ or Matlab or equivalent) and using numerical techniques
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required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential. Additional Qualifications
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, economics, or a closely related field. Excellent knowledge of computational linguistic tools and machine learning techniques. Experience with data analysis with Python and STATA. Prior experience in