55 information-security "https:" "https:" "https:" "https:" "https:" "U.S" positions at Nature Careers in Worldwide
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subject line titled “Position you apply for + Field + Your name” to college@cityu-dg.edu.cn For more information, please visit the University website below: https://www.cityu-dg.edu.cn/en/academic-positions
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subject line titled “Position you apply for + Field + Your name” to college@cityu-dg.edu.cn For more information, please visit the University website below: https://www.cityu-dg.edu.cn/en/academic-positions
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proteins (https://www.nature.com/articles/nature17995 ). Our current focus is on applying synthetic biology to design plants with agricultural and aesthetic applications. About You You will need a PhD (or
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Job description: The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions
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product-based active compounds for the treatment of infectious diseases. PhD Student (m/f/div) in Bioprocess Engineering The position is initially limited to three years. We are looking for a person who is
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We are recruiting a group of postdocs who are eager to pursue ground-breaking biomedical research, and we will help them to establish themselves as future scientific leaders. This postdoc program is
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years of service, and is renewable subject to performance, mutual agreement and funding availability. Application Procedure Please submit the application via the HKUST(GZ) Recruitment System (https
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applicable federal, state, and local safety and health regulations is required. Management reserves the right to assign or reassign duties and responsibilities based on business needs. This job description
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list of the duties and responsibilities of the job, nor is it intended to be an all-inclusive list of the skills and abilities required to do the job. Compensation In recognition of certain U.S. state
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
Job Description The Image Quantification and Artificial Intelligence (IQAI) Collaboratory is the technical engine of the Intelligent Imaging Informatics (I3) Section within the Department