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or edge AI deployment. Strong programming skills in C, C++, and Python, with experience in deep learning frameworks such as PyTorch or TensorFlow. Familiarity with deployment constraints on cloud, edge
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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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knowledge of techniques from Structure Preserving Numerical Discretization of ODEs and PDEs Solid knowledge of programming languages such as Matlab, Python, Fortran, FEniCS, Firedrake. We regret to inform
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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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an engineering or infrastructure position. Proficiency in at least one programming language such as Python, Go, Rust, or JavaScript/TypeScript (proficiency in Python and TypeScript is highly preferable
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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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electromagnetic phenomena, using languages such as C++ and Python Collaborate with senior researchers to formulate new theories pertaining to EUV generation, obtained ab initio from Maxwell’s equations and quantum
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Skills Basic proficiency in programming languages such as Python or similar Working knowledge of SQL and relational databases Familiarity with data analytics and data visualisation tools (e.g. Power BI
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, photonics, or wave-based systems). Good programming skills in Python. Familiarity with scientific computing frameworks (e.g., PyTorch, TensorFlow, or quantum computing toolkits such as Qiskit or PennyLane
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(RAG), and fine-tuning using modern frameworks. Software Engineering Excellence: Demonstrates expert-level Python skills and a strong commitment to Software Engineering best practices, writing code