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also forward questions to the PhD student council at Fysikum. Application Apply for the PhD student position at Stockholm University's recruitment system. Attach a personal letter and CV as
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analytical and communication skills, with the ability to work independently and collaboratively Experience with microscopy data or inverse problems is a merit Where to apply Website https://jobrxiv.org/job
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trustworthy, we facilitate large-scale and reliable use of AI across different industries. Your work assignments You will work at the intersection of machine learning, cybersecurity, and privacy, developing
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position Eligibility requirements Other qualifications Application A complete application must include: 1. A cover letter summarizing your qualifications, scientific interests and motives for applying (max
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information about the program can be found at Doctoral studies at the Faculty of Medicine . Background and description of tasks The PhD student will use state-of-the-art methods such as cryo-electron tomography
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information about the program can be found at Doctoral studies at the Faculty of Medicine . Background and description of tasks The PhD student will use state-of the-art methods such as cryo-electron tomography
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Familiarity with large language models or multimodal systems An interest in visual reasoning, educational technology, or human–AI interaction Experience with neural networks for image or video understanding
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for Bachelor and Master degree programs, as well as offering Ph.D. education in applied economics, business administration, and economics. The Department is located at two campuses: Uppsala and Umeå. Among many
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for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing group in the Quantum
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mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning