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. Experience in process modelling and simulation (e.g., Aspen, Modelica, MATLAB, Python). Strong understanding of heat exchangers, thermal loops, and multi-physics systems. Experience in techno-economic analysis
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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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—specifically Python, C++, or Java. The developer must be able to translate logistical constraints into efficient, scalable code capable of high-speed, real-time decision-making. Integration Support While
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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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for candidates considering a future Ph.D. in accounting, finance, or related fields. Responsibilities Collect and clean large-scale datasets and conduct statistical analyses using Stata and Python. Review relevant
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, Molecular Biology, or a related field. - Experience with Python programming (particularly for scientific research) - Hands-on experience in cell culture techniques, preferably with human pluripotent stem
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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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-trained Models. A solid research foundation and engineering experience in the AI medical field, proficient in programming languages and frameworks such as Python, C++, Pytorch, Tensorflow, Opencv, and
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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