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students and working effectively in a team-based research environment Proficiency in common computational chemistry software and coding techniques e.g. Gaussian/Amber/Schrödinger/python/bash For more
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additive manufacturing. Hands-on experience with CFD/FEA tools (e.g. ANSYS, Abaqus, COMSOL, OpenFOAM). Solid programming skills in Python (experience with PyTorch/TensorFlow is highly desirable). Proven
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materials using DFT (VASP) and molecular dynamics with machine learning force fields is desired. • Experience and skills in scientific programming (e.g. Python or C/C++) and data analysis, including
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such as R/Python/Java or similar languages, and familiarity with Unix-based platforms is advantageous Experience working in cloud environments (e.g., AWS) is beneficial High motivation and willingness
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one programming language, such as Python or R • Experience with mathematical or statistical modelling • Excellent written and verbal communication skills • Highly organised, with the ability to work
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algorithms for dynamic master selection, coordinating BESS, PV, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python
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in at least one programming language for data science and numerical computing (e.g., Python, Fortran). We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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Forensics, Image Forgery Detection & Localization, Deepfake Detection, and related areas. Proficiency in software such as PyTorch, OpenCV, and programming languages such as Python, C/C++, as well as Linux (eg
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(Python/MATLAB). Capability to manage a multi-phase, interdisciplinary project with clear milestones and deliverables. Excellent academic writing and presentation skills to draft publications, reports, and
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the following areas: Matlab and/or Python proficiency for data processing PCB designing and/or microprocessor programming (ARM) Rapid Prototyping (3D printing, Raspberry Pi, FPGA) Optional experience