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Field
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, working in a highly interdisciplinary and international team of engineers, biologists, and materials scientists. Together, we design technologies that open new possibilities for tissue regeneration, stem
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to link real-world challenges to fundamental research questions. Desirables: Knowledge of battery digital twin. Knowledge of BESS thermal management design. Experience with artificial intelligence
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. Knowledge of BESS thermal management design. Experience with artificial intelligence applications. TU Delft (Delft University of Technology) Delft University of Technology is built on strong foundations. As
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Science Park and through international collaborations. The specific project direction will be tailored to align with the candidate’s background and interests. Candidate Profile We are looking for candidates
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Forest Management group, senior and junior researchers and students collaborate in projects on plant-fungal interactions and root trait ecology. Your work will be supported by the Molecular Ecology team
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balance transparency and confidentiality of digital technologies? This Postdoc position offers you the opportunity to conduct original, cutting-edge research in the project “Artificial Secrecy? Taking
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of this project is to develop techniques that will enable gate-based quantum optimization algorithms to tackle realistic (large-scale, mixed-integer, and constrained) instances of stochastic programming problems
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subpopulations, as well as (plastic) cancer cell states that contribute to tumor progression, metastasis and therapy resistance. The candidate will lead several projects applying machine learning to (single-cell
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manage complex projects to completion on schedule. Excellent (written and verbal) proficiency in English, good communication and leadership skills. Additional Information Benefits A meaningful job in a
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by Prof. Dr. Liesje Mommer. In this team, which is embedded in the Forest Ecology and Forest Management group, senior and junior researchers and students collaborate in projects on plant-fungal