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characterization of photonic devices. Desired qualifications: Theoretical understanding of photonic integrated circuits. Experience with numerical modeling. Experience with Python programming. Additionally, we
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optimisation, hands-on experience from modelling membranes with CFD software tools such as ANSYS Fluent, and proficiency in programming languages such as Python, MATLAB, or similar. You must contribute
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have: Experience in Python Experience with deep learning frameworks Interest in design and user test of explainable AI systems Interest in EEG High level of motivation and innovation Excellent
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digital co-simulation platforms (e.g., Modelica-Python/Simulink) Applying machine learning and data-driven approaches to enhance the operation of district heating substations Participating in course
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: PhD in computer science, machine learning, operations research, transportation engineering or a related field. Programming skills in C/C++ and Python, along with experience working with simulation