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participate in a project which investigates and develops novel immunotherapies (cell therapies) to cancer, utilizing both mouse and human systems. Applicants should possess a PhD degree or be close to
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data has increased massively in the last decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic
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tools, including 4D point cloud modeling and state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier
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. The concept has lately gained increasing interest from researchers in applied mathematics and machine learning. This is due to its remarkable flexibility, mathematical elegance, and as it has produced state
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. The department has a strong community on related topics: research groups working on digital health and wellbeing , network science , computational social science , and various topics in machine learning. You will
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to the application form the following documents in English in PDF form (8 attachments): Copy of the Doctoral Certificate (if unavailable, a copy of the official confirmation of PhD completion). Curriculum Vitae
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to the application form the following documents in English in PDF form (8 attachments): Copy of the Doctoral Certificate (if unavailable, a copy of the official confirmation of PhD completion). Curriculum Vitae
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scheduling to accommodate time-sensitive experimental procedures. Who we are looking for A dedicated researcher with a PhD in neuroscience, cell biology, molecular biology, bioinformatics, or a related field
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a dynamic, international research environment. Your experience and ambitions Required Qualifications PhD in Electrical Engineering, Physics, Photonics, Materials Science, or related field Strong
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experience and ambitions We are seeking a candidate with: Educational background PhD in Architecture, Landscape Architecture, Computational Design, Computer Science, Urbanism, or a closely related field