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command of written and spoken English Strong communication skills and the ability to thrive in interdisciplinary collaborations Basic programming or data science skills (e.g., R or Python) and an interest
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) or the equivalent in Computer Science, Information Security, Statistics, or related fields at the time of application Special requirements for the position: possess solid programming skills (e.g., Python, R, GIT
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science, physics, chemistry, or equivalent experience. Demonstrated experience with coding (MATLAB, Perl, Python, Jupyter, C, etc.) and quantum chemistry software (VASP, CP2K, quantum espresso, wien2k
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-Carrier Energy Hubs (MC-EHs), where multiple energy generation, conversion, and storage technologies across diverse carriers integrate smartly and locally, show promise for overcoming such barriers
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. The PhD student will join the Life Cycle Sustainability (LCS) group that brings together multiple competences within industrial ecology and sustainability science for the holistic and quantitative
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, deposition and transport behaviour. • Wastewater treatment modelling, including aeration energy, sludge production, nutrient removal and AD performance. • MATLAB/Python-based data analysis, multi-source data
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Project advert Modern artificial intelligence (AI) increasingly relies on combining multiple sources of information, such as sound, motion, images, and sensor data, to achieve robust and intelligent
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, using signal processing/machine learning techniques, to realise all-weather perception in autonomous vehicles with high-quality multiple-input-multiple-output (MIMO) radar sensing/imaging. The project
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Python-based tools such as BioSTEAM and Brightway LCA Software are required. Excellent communication skills in English, and willingness to work in an international, interdisciplinary team. Openness
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Modeling (Conceptual process simulations) is a major requirement for this position. Familiarity with both GUI-based process simulation tools (e.g., Aspen Plus, SuperPro Designer), and Open-Source Python