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Field
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machine learning and neuromorphic hardware is to utilise material platforms that exhibit multiwell behaviour. One challenge here is to understand and control the dynamic response of the system for complex
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proactive and curious mindset, with the ability to explore complex problems independently and collaboratively. A good command of spoken and written English, as you’ll be working in an internationally diverse
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appreciated; Adequate publishing skills; Adequate social/verbal/communication skills. Due to the international character of our research, good command of spoken and written English is essential. We highly
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reflecting individual accomplishments. You are proficient in Python and/or R; experience with shell scripting (Bash) and AI frameworks. You have a strong command of scientific English, both spoken and written
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/or experience with developing AI tools in healthcare. Possess strong programming skills in Python, PyTorch or otherwise. Have a good command of English (spoken and written). Have good communication
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Engineering (MSE) at TU Delft, where research focuses on understanding and controlling local corrosion processes to enhance the durability and sustainability of materials. The CTE team aims to gain fundamental
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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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) group within the department Materials Science and Engineering (MSE) at TU Delft, where research focuses on understanding and controlling local corrosion processes to enhance the durability and
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with EEG toolboxes is a plus have a good command of English (spoken and written) Dutch language proficiency is a plus due to interaction with patient populations and clinical staff Additional Information
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simulations including heat pumps, buffer storage, and building demand. Using monitoring data from the experimental façade at TU Delft’s Green Village to calibrate and validate models. Investigating control