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Field
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in Computer Science, Artificial Intelligence, or related field. Solid programming and development skills (Python, Git, Bash). Experience with machine learning (e.g PyTorch/TensorFlow). Strong interest
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to obtain) a Master’s degree in Computer Science, AI, Data Science, Software Engineering, or a closely related discipline. You have strong programming skills (Python, version control tools like Git
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, preferably with a proven background in, or willingness to learn, physics-based numerical modelling and programming skills, in Python (preferably), R, MATLAB, or a comparable language. Openness to collaborate
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experimental work, has experience in polymer rheology and can implement constitutive models in Matlab or Python. Position 2 – Ply/ply and tool/ply friction during hot press forming Excessive friction between
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; Experience in data science and chemical analytics; Experience in coding (MATLAB, Python, etc.); Experience or strong interest in marine chemistry; Experience in oceanography and field sampling is highly
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signal processing. Experience in programming (Matlab and/or Python and/or C). Analytical mindset. Hands-on approach. Good interpersonal and interdisciplinary communications skills. Proven autonomic
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, scanning system, and signal detection within a multi-beam framework. For this purpose, you will use commercial simulation software tools such as EOD and GPT, while also developing custom Python-based
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for candidates who are familiar with V2G concepts, smart charging, and demand-side management in urban contexts. Programming experience (e.g., Python, MATLAB) for simulation control and data analysis. Excellent
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developing custom Python-based simulation scripts. TU Delft will support your research with access to the DelftBlue supercomputer for large-scale and intensive modelling. In the second phase, you will work
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Engineering with excellent grades. Knowledge of Digital/Mixed-Signal Integrated Circuit (IC) design and Computer Architecture. Solid skills in HDL (Verilog, VHDL) and scripting languages (Python, TCL