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learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL • Organic synthesis, polymer chemistry, synthesis
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in triaxial testing and constitutive modelling Excellent programming skills, such as Python, MATLAB, or other competent languages. A good record of publications in reputable peer-reviewed journals
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machine learning methods • Proficiency in transport planning software such as EMME or PTV Visum. • Programming expertise in at least one language, e.g., Python, Java, or C++. • Strong written and
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• Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.) • Literature review/summarizing skills
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interactions in the extreme ultraviolet (EUV) regime Develop new, efficient software for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python Formulate new theories pertaining
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turbulent flow simulations. 3. Background in numerical methods and scientific computing. 4. Proficiency in Python programming and high-performance computing on modern GPU-based platforms
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-quality research and experiments on nearshore seawater monitoring Prepare grant proposals and project reports Program using Python and test theoretical findings via computer simulations Test the methods via
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or programming knowledge such as Python, Bash, or PowerShell is advantageous. Experience with servers, GPU systems, workstations, virtualization, cloud platforms, scientific computing, or AI/ML research
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, or measurement systems will be advantageous. Familiarity with signal processing and analysis, control systems, Python, MATLAB, C++, LabVIEW, or equivalent tools is preferred. Strong analytical, problem-solving
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methods Proficiency in Python and/or C++ for robotics and ML systems Experience with modern deep learning frameworks (e.g., PyTorch) Ability to design experiments, analyze failures, and iterate quickly in