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. robotics, computer science, electrical/electronic engineering, etc. • Extensive experience in robotic motion planning and control, especially in obstacle avoidance and contact-aware task execution with
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: A recent PhD graduate with expertise in organic chemistry, natural product synthesis, chemical biology or related field. Must have research experience with multi-step synthesis with good techniques
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. Contribute to the preparation of grant applications and scientific manuscripts. Job Requirements: A PhD degree in Biological Sciences, Biochemistry, Biophysics, or a related discipline. Hands-on experience in
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team Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives Requirements Academic background in the following subjects is preferred: computing, information systems
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duties Job Requirements: PhD in Optical/Device Physics, Electrical Engineering, Materials Science, or a related field with low-dimensional nanophotonics. Excellent publication records will be preferred
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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. Requirements PhD in Life Sciences, Biomedical Sciences, or a related discipline. Strong track record of research productivity, including first-author publications. Proven ability to work independently and lead
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of the lab, especially in the areas of microfluidics, cellular engineering, or biomaterials development are encouraged to apply. Qualifications Candidates should possess the following: a PhD in bioengineering
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ideas for application of research outcomes. Contribute to knowledge exchange activities with external partners and collaborators. Requirements Minimum PhD or close to completing PhD in Communications
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on the project team Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives Requirements Academic background in the following subjects is preferred: computing, information systems