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, Machine Learning, or Smart Energy Publication record in peer-reviewed journals or conferences, commensurate with stage of career Good programming skills in Python, R, Java, or Matlab Experience
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experience in Python and, more specifically, in common deep learning frameworks such as PyTorch and jax, for model training and inference have experience with embedded platforms such as FPGAs or RISC-V
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finite element analysis; MATLAB or Python programming; An interest in electrified propulsion and industrially relevant research. Experience in electromagnetic design, thermal analysis, optimisation
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to develop advanced skills with programming software such as R, Python or Matlab. Professional working proficiency in English, including scientific writing. Additional Information Benefits Terms of employment
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performance simulation, lifecycle assessment, or climate resilience. Knowledge of uncertainty quantification and risk modelling is desirable. You have experience with programming and data analysis (e.g., Python
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the translation of ecological science into decision-making. Experience with quantitative analysis, modelling, simulation, or programming, preferably in R, Python, NetLogo, Julia, or comparable tools
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. You have good programming skills, preferably in Python, and are able to independently write and adapt code for data processing, analysis, and visualization. Experience with deep learning and frameworks
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analysis, such as MATLAB/Simulink, Python, finite-element tools or equivalent Essential Application/Interview Awareness/knowledge of field-oriented control, FPGA-based control, GaN inverter technologies
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PhD Studentship: Advancing solid-state battery electrolyte manufacturing with terahertz spectroscopy
MATLAB/Python and signals processing Understanding of electromagnetics Genuine interest in battery technologies Experience with CAD and mechanical design How to apply: Candidates should submit
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. You have strong programming skills in C/C++, Python, and/or Matlab. Knowledge of energy-efficient communication systems, network energy modeling, or renewable energy integration is a strong asset