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Field
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) structures using high energy X-ray methods (scattering, spectroscopy, imaging) Design, optimization, and testing/benchmarking of reactors for operando studies Unravelling of relationships between catalyst
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The Department of Energy Conversion and Storage at the Technical University of Denmark (DTU Energy) invites applications for a 2-year experimental postdoc position to work on structural
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Postdoctoral Research Associate- Training in the Design & Development of Infectious Disease Therapeu
molecule and vaccine candidates. Postdoctoral preceptors associated with the program are drawn from the departments of Infectious Diseases, Structural Biology, Chemical Biology & Therapeutics, Immunology and
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Experimental Nuclear Physics (all genders) Posting ID: 25.64-1270 within the HISPEC/DESPEC collaboration, being one of the largest collaborations of the NUSTAR (Nuclear Structure, Astrophysics and Reactions
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retrotransposition using an integrated biochemical and structural approach with a focus on cryo-EM. The postdoctoral scholar will have access to cutting-edge cryo-EM instrumentation and computational resources through
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Preferred Qualifications PhD in polymer chemistry, materials science, microbiology, or a related field with expertise in antimicrobial research. Knowledge/Skills/Abilities This position requires knowledge
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will be expected to perform research and development in these areas, within an established group of researchers, PhD students, MSc students and undergraduate final year students. Two applications will be
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PhD level with zero to five years of employment experience. Expertise in testing, characterizing, and measuring MEMS devices and designing feedback loops and control algorithms for the precise operation
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mentoring of graduate students. The required qualifications are: PhD degree in Civil Engineering, Materials Science, Chemical Engineering, or related field Extensive research experience related to concrete
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characterise the internal dynamics of neural networks. Topological approach – based on metrics derived from topological data analysis to capture qualitative structural changes in the neural network configuration