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parental leave, sick leave or military service. The following experience will strengthen your application: Experimental atomic physics Optics Photonics Optomechanics Nanofabrication Nanomechanics Cryogenics
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the development of single-cell models, machine learning approaches based on cultivation data, and the integration of metabolic models with computational fluid dynamics of bioreactors. While our team consists
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-constrained models. Currently, we are advancing the development of single-cell models, machine learning approaches based on cultivation data, and the integration of metabolic models with computational fluid
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optimization or machine learning. It is a plus if you are already an independent researcher or are growing into one. Therefore, you are required to submit a research statement where you describe not only your
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theoretical physics Some computer programming knowledge, e.g., Python, C/C++, Julia, etc. Strong written and verbal communication skills in English Experience in the following areas is beneficial but not
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/or reactor physics Documented knowledge/experience in machine learning What you will do As a PhD student, you will have the opportunity to shape your research project while receiving guidance and
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properties of superconducting circuits, both analytically and numerically. Familiarity with open quantum systems. Background in optimal control methods. Experience with machine learning for optimization
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whereby the employee has the opportunity to acquire both pedagogical and scientific qualifications. Each new Assistant Professor at Chalmers is a strategic recruitment, with tenure track. An Assistant
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a quantum computer based on superconducting circuits. You will be part of the Quantum Computing group in the Quantum Technology Laboratory (QTL) division of the Microtechnology and Nanoscience (MC2
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, computer science, physics, or a similar discipline. Note: Exceptions to the 3-year limit may apply in cases of parental leave, sick leave, or military service. Demonstrated knowledge of computational methods