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imaging procedures Qualifications PhD in a relevant field such as Cell Biology, Biomedical Sciences, Biophysics, or related life sciences Demonstrated hands-on experience in biological electron microscopy
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community. Requirement: PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like
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, research reports, papers and other publications as required Supporting the laboratory for general maintenance, stock-taking, and other administrative duties Qualifications PhD in Chemistry, Materials Science
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journals and at international conferences Potential for co-mentorship of PhD students within the team Engaging in collaborative discussions with InVEST team members and collaborators Contributing to InVEST
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successful candidate should possess at least a PhD or Master degree in a relevant field and possess aptitude, interest and commitment for in-depth research, able to work independently, fluent in English with
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independently, in coordination with other junior and senior team members in the laboratory and clinicians. Supervision of junior lab members such as undergraduates and postgraduate PhD students is expected
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up and publish results in peer-reviewed journals Liaising with researchers from collaborating institutes Key Competencies and Requirements: PhD in behavioural epidemiology, environmental science and
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optimizing fabrication and testing processes for new devices. Qualifications PhD degree in Electrical Engineering, Materials Science, Mechanical Engineering, Biomedical Engineering, or a related field with
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availability. Interested applicants may send their motivation letter and CV via email to eleez@nus.edu.sg/elesodi@nus.edu.sg Qualifications Candidate should meet at least 4 criteria from the following list: PhD
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PhD dissertation must be appended to the application as well as one or two samples of published work. Applicants still pursuing their doctoral degree must append a detailed description of the doctoral