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models of cellular dynamics are expressive enough to map any source to any target state, but they fall short of learning the underlying regulatory principles. We work on regularization, training on time
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cells (https://doi.org/10.1038/s41579-025-01256-w ). Subcellular localization of T6SS assembly and timing of its firing is tightly regulated in various bacteria: Despite these breakthroughs, we still lack
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culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal
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, University of Basel and contribute to a research program investigating the development of metacognitive skills across childhood and adolescence. Metacognitive skills play a central role in successful learning
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numerous opportunities to exchange ideas with other doctoral students, receive feedback on the work in progress, and acquire the skills necessary for an academic career. The Doctoral Program also supports
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cohort of doctoral researchers and benefit from ReDiLEEP training in response diversity methods, data management, reproducible code, R/Tidyverse, machine learning and AI for ecologists, visualisation
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learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment
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, engineering, and the broader questions of how AI systems affect the people and institutions that interact with them. You should bring: A master’s degree in computer science, machine learning, HCI, or a related
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of the PhD position sits at the crossroads of quantum computing, machine learning, and combinatorial optimization — an area where some of the most exciting and open questions in the field live. Research
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of the heaviest elements Present your research at international conferences and publish your results in leading peer-reviewed scientific journals Where to apply Website https://apply.refline.ch/673278