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for different application use cases Your Profile: Enrolled in a Master’s program in physics, materials science, electrical engineering or a related discipline Solid background in solid-state physics and/or
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Computer Science, Artificial Intelligence, Materials Science, or a related field Strong programming skills in Python, ideally with experience in image processing and deep learning using PyTorch or similar frameworks
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different models, test them and evaluate them with scores. What you bring to the table You are enrolled as a student in Computer Science, Engineering, Natural Sciences or a comparable degree program Basic
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tools? This research area sits at the intersection of Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Software Engineering (SE). The goal is to design and evaluate new interaction
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State programme promoting young researchers (Tenure-Track Programme). The professorship is affiliated with the department of Medical Systems Biology (https://www.med.uni-wuerzburg.de/en/systemimmunologie
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supports user-defined computing operations for combined data analysis, also has great potential for social applications. independent handling of challenging, inter- and transdisciplinary research projects in
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, as well you know how to work with a computer You work as a team player to solve problems analytically and work out solutions You are willing to learn something new every day and are willing to participate
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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numerous corporate partners as part of the Fraunhofer Corporate Benefits Program The maximum monthly working time is 40 hours. We value and promote the diversity of our employees' skills and therefore
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numerous corporate partners as part of the Fraunhofer Corporate Benefits Program The weekly working time is 39 hours. We value and promote the diversity of our employees' skills and therefore welcome all