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Earth Engine Write project reports that summarize analysis Prepare literature reviews Data visualization. Qualification requirements Required: Bachelor’s or master’s degree in a subject that includes
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must meet the following requirements: Possess a PhD in Material Science and Engineering, Flexible Electronics, Electrical engineering, Computer science and engineering, Biomedical Engineering, Materials
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-based data analysis and usage of high-performance computing (HPC), laser-based physics for the temperature jump experiments or engineering background and familiarity with vacuum technologies
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of the technology being in action. Machine learning (ML) is an area at the technical core of AI. With the enormous success of deep neural networks (DNN), the research focus of ML has shifted from pursuing high
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candidate with the following skills and qualifications: Extensive experience with cell culture, immunological assays including multi-color flow cytometry, molecular biology, and work with mouse models, is
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nearby. Our cohesive campus environment makes it easy to meet, collaborate and exchange knowledge, which promotes a dynamic and open culture where we rejoice in each other’s successes. If you are
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of Molecular AI, Discovery Sciences) at AstraZeneca as well as receive academic mentorship and guidance from Richard Johansson (Senior Lecturer of the Department of Computer Science and Engineering at
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of Molecular AI, Discovery Sciences) at AstraZeneca as well as receive academic mentorship and guidance from Richard Johansson (Senior Lecturer of the Department of Computer Science and Engineering at
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, soil microbial processes, and/or carbon cycle models. In the appointment process, special attention will be given to candidates with degrees in a relevant discipline (engineering, applied mathematics
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in