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Information Science & Technology or Computer Science and/or relevant discipline full stack developer experience computer science background Some work experience is good Fresh PhD with relevant expertise is also welcome
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Job Description Yale-NUS College is a highly selective liberal arts and science college in Singapore. Co-founded by Yale University and the National University of Singapore, the College is
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, potential, and experience. Shortlisted candidates will be notified of an online interview Qualifications An outstanding record in accredited PhD program in economics or related fields More Information
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. • Less than 5 years work experience after obtaining PhD degree More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Materials Science and Engineering
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Basque Center for Macromolecular Design and Engineering POLYMAT Fundazioa | Spain | about 4 hours ago
4 Jun 2024 Job Information Organisation/Company Basque Center for Macromolecular Design and Engineering POLYMAT Fundazioa Research Field Chemistry Researcher Profile First Stage Researcher (R1
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will be a full-time member of the laboratory. Qualifications PhD in Materials Science and Engineering or related discipline Highly motivated with ability to work independently as well as in a team
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the research direction, conduct experiments, analyse results, and publish scientific papers. Qualifications • PhD degree in Materials Science or Mechanical Engineering, • Experience in additive
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data Qualifications • Qualifications/Discipline: PhD degree in a relevant discipline (including computer science, statistics, genomics, bioinformatics, biology, drug design, etc) • Skills
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refresh page to watch video, or click here to open video) PhD position There is a vacancy for a PhD Research Fellow in molecular parasitology at the Department of Biological Sciences .The position is for a
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documentation. Job Requirements: PhD degree in Civil Engineering or in Engineering in a closely relevant field. Familiar with data and models, and software used in exposure and loss modelling. Competency in