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qualifications with a PhD in physics, electrical engineering, materials science or a related subject, and a background in magnetic thin films, nanostructures and spintronics. You should be motivated, proactive and
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(e.g., deep learning, explainable and physics-informed AI, large language models, etc.). The position will be developed within the funded project entitled “UrbanTwin: An urban digital twin for climate
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and validate the equipment. Your profile PhD in Materials Science, Mechanical Engineering, or Experimental Physics Experience in determining mechanical properties at surfaces Experience in surface
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Supervision of BSc and MSc students Your profile We are looking for a highly creative self-motivated team player You have a PhD degree in Materials Science or Chemistry combined with Machine Learning In depth
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Kerr microscopy, transport, SQUID-VSM) as well as synchrotron x-ray techniques at international facilities. Profile You have outstanding qualifications with a PhD in physics, electrical engineering
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to process this data, with a focus on optical flow and object detection. You will interpret the results to better understand landslide mechanisms. You will also contribute to the maintenance and upkeep
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making new insights into landslide processes. You will develop advanced algorithms to process this data, with a focus on optical flow and object detection. You will interpret the results to better
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enjoy working across different scientific fields. You love the scientific process and are excited to apply your skills to explore microbial ecosystems in food production. You have experience with
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reports, (inter)national conference presentations, industry meetings, and digital media. Your profile PhD degree in chemistry, physics, materials science, engineering or related field. Experience in plasma
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modeling, interpretable and explainable machine learning, or hybrid modeling by combining process-based and data-driven approaches. Besides your own main project focus, you will contribute to the supervision