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deep reinforcement learning (DRL) methodologies for both gene-level and edge-level perturbation control, represents a significant advancement in the computational toolkit for cellular reprogramming
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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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. The Department of Mathematics (DMATH) of the University of Luxembourg has an opening for a Postdoctoral researcher in machine learning position to start in September 2025. The researcher will be under the guidance
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Support the development of pedagogical content for MOOCs, workshops, and blended learning formats Participate in hackathons, workshops, and AI public engagement events to help transfer knowledge and foster
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conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities and Machine Learning/AI on organisations from both the private and public sectors
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education and experience but don’t tick every technical skill listed, we still encourage you to apply! We value motivation, and willingness to learn, and a passion for data systems and research infrastructure
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entrepreneurship in all areas Personalized learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50 nationalities represented in our
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phenomenology; experientially taking a belief to be true when we first acquire it and if we later entertain it in thought. On our view, if a belief doesn’t seem true, it won’t be able to play a role in our
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interdisciplinary research, eager to continuously learn with critical thinking and explore new ideas while collaborating with a team Language Skills: Fluent written and verbal communication skills in English are
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be found on hpc.uni.lu . The activities include classical HPC applications, such as simulation and modeling, as well as artificial intelligence and machine learning, which bridge computational science