68 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" positions in Sweden
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platforms based on bosonic modes, also called CV modes, such as microwave harmonic oscillators used to process quantum information. The project provides a rare chance to develop new theoretical and
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computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our dedicated webpage . About the research project
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superconducting circuits. You will work in the stimulating research environment of the Wallenberg Centre for Quantum Technology (WACQT) . The core project of the centre is to build a quantum computer based on
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charging infrastructure, as well as hydrogen systems in grid operation. For more information, please visit our website: https://www.academiceurope.com/ads/wissenschaftlicher-mitarbeiterin-m-w-d-professur-fur
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of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods
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of English. More information about the English language requirements can be found here: https://www.slu.se/en/education/programmes-courses/doctoral-studies/application-admission-doctoral-studies/ Applicants
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Ramstedt, https://www.umu.se/forskning/grupper/madeleine-ramstedt-lab/ ) and in vibrational spectroscopy (Dr Andras Gorzsas, Science for Life Laboratory (SciLifeLab) group leader, https://www.umu.se/en/staff
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has about 160 employees, about 30 of whom are postdoctoral researchers. For more information, visit: https://www2.umu.se/en/department-of-ecology-and-environmental-science/
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: Develop advanced computational models, including mechanistic enzyme-constrained models (ecGEMs) for Y. lipolytica and D. hansenii, integrating RCD pathways. Leverage cutting-edge data from experiments and
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within the Data Science & AI division (DSAI). With 30+ nationalities and strong industry/academic ties, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences