75 machine-learning "https:" "https:" "https:" "https:" "https:" "The Francis Crick Institute" positions at Lunds universitet
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about working with us Work at Lund University | Lund University Ready to shape the future of research? Find more reasons why Lund University and the HT Faculties is right for you here, and learn more
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covers areas such as pure mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine learning. The department has approximately 150 employees, including 21 full
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transcripts, details of referees, letters of recommendation, etc.)” Welcome to apply! Where to apply Website https://lu.varbi.com/en/what:job/jobID:907263/type:job/where:39/apply:1 Requirements Additional
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, etc.)” Welcome to apply! Where to apply Website https://lu.varbi.com/en/what:job/jobID:914757/type:job/where:39/apply:1 Requirements Research FieldTechnologyEducation LevelPhD or equivalent Research
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measurements with fluorescence microscopy. It is considered a merit if you have experience in AI-based or machine-learning-based cell and image analysis. It is considered a merit if you have advanced knowledge
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wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.) We welcome your application. Where to apply Website https://lu.varbi.com/en/what:job
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transcripts, details of referees, letters of recommendation, etc.)” We look forward to receiving your application! Where to apply Website https://lu.varbi.com/en/what:job/jobID:910848/type:job/where:39/apply:1
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programs for both Swedish and international students. Read more at https://www.biology.lu.se/ . Find more reasons why Lund University and the Faculty of Science are right for you here and here , and learn
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teaching environment at the department. The main language of the PhD program is English. However, non-Swedish speaking students are expected to acquire basic skills in Swedish during the period of employment
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addition to conventional software, the scope includes engineering of AI enabled systems (primarily ML and LLM), and thus MLOps (Machine Learning Operations), datacentric AI, and legal and ethical aspects of AI