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PhD positions in optically multiplexed soft robotic actuators The Robotic Materials group is looking for two postdocs and one PhD for the project funded by ERC Starting Grant : "Distributed Addressable
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The Robotic Materials group at ETH Zurich Department of Materials is looking for three postdocs and one PhD for the project funded by ERC Starting Grant : "Distributed Addressable Robotic Material
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? No Offer Description The Robotic Materials group at ETH Zurich Department of Materials is looking for three postdocs and one PhD for the project funded by ERC Starting Grant : "Distributed Addressable
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for the researcher to follow their own research interests. Candidates will be expected to actively contribute to all departmental activities. Profile: - A formal requirement for the position is a PhD in mathematics
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: extremal graph theory, Ramsey theory, probabilistic combinatorics. • Candidates should have (or be near completion of) a PhD in mathematics. • Candidates should have a strong research record in Combinatorics
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to departmental activities, as well as the standard teaching, grading and mentoring duties. Profile Candidates should have (or be near completion of) a PhD in mathematics with an excellent research track record
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modelling, structure biology and chemistry. Your profile PhD in Molecular Biology, Microbiology, Biochemistry or Structural Biology with research experience in any of these areas. You are highly motivated
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independent research interests. Your profile Required: PhD in Marketing/Business/Analytics (or a related field); strong statistical background; proficiency in Python; fluent English. Preferred: experience with
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captured using antigen-specific monoclonal antibodies, and detected and quantified via flow cytometry. The postdoctoral researcher will work closely with an ongoing PhD project at the University of Basel and
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conferences. Enjoy protected research time to pursue independent research interests. Required: PhD in Marketing/Business/Analytics (or a related field); strong statistical background; proficiency in Python