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characterization techniques (e.g., HPLC, GC-MS, SEM, TEM, BET …). Write scientific reports, and research articles, and participate in conferences. Candidate Profile PhD degree in Materials Science, Chemical
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tolerance mechanisms. Presentation of research results at national and international conferences and publication in scientific journals. Your profile: PhD in Natural Sciences, in particular Analytical
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well as potential power deposition on accelerator elements and potential damage. •Subsequently perform the benchmarking of the accelerator model from the Bmad code to the Xsuite / RF-Track codes. This work will
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research projects, contributing to major funding applications, publishing high-impact research, and mentoring junior researchers. Applicants should hold a PhD/DPhil in cell biology, cancer biology, computer
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expected to conduct homologous overexpression, gene silencing, sequence analysis and contained phenotyping. Education A PhD in Molecular Biology, Genetics, Genomics, or a closely related field Requirement
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Posting Details Position Details Title Postdoctoral Researcher Appointment Status Non-Tenure Track Department IU Bloomington Psychological & Brain Sciences Location Bloomington Position Summary
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and contribute to a range of exciting collaborative projects and develop new projects. PhD in a relevant field is required. Strong track record of productivity is essential. Experience with biological
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Three-Year Postdoctoral Position: Role of Extracellular Nucleic Acids in Interspecies Communicati...
candidates with: A relevant PhD degree in molecular microbiology, archaeal RNA biology, molecular electrobiology or a related field. Hands-on experience with co-immunoprecipitation (co-IP) assays Experience in
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depositing and fabricating thermo-electric devices onto non-planar metallic substrates. In a parallel track, the team will develop techniques for the design and manufacture of the structures with predictable
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QUALIFICATIONS: PhD (or equivalent) in biology, applied mathematics, statistics, computer science or related field. A proven track-record of peer reviewed publications, and programming experience in Python or R