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discipline. Additional requirements are: A strong foundation in statistical modelling and inference; demonstrated experience of developing new statistical methodology; very good programming skills; good
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, to quantify mediator-booster reactivity and component dissolution during operation, developing a firm understanding of how material formulation and experimental parameters govern charge transfer at the liquid
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syntheses involving radioactive actinides, numerous experiments will be conducted using non-radioactive elements under similar conditions. The postdoctoral fellow will also be responsible for characterization
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Laboratory (https://pietrodeanna.org ) at the University of Lausanne, led by Prof. Pietro de Anna, where the experimental work will be carried out, and with the Theoretical Chemistry group at ETH Zurich (https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
Hiring Range Dependent on Experience and Qualifications Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative
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, cell biology and gas-exchange physiology. Within the research unit “Cereal Stem Cell Systems - RU52350; https://cerealstemcells.de ”, we are recruiting a Postdoc to investigate how grass leaves spatially
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· Designing and performing experiments · Data analysis and manuscript preparation · Presentation of results internally and externally · Collaboration with other scientists
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biological approaches, in vitro cell culture systems, and novel mouse models. Optimal candidates will have experience with immunometabolism and use of these techniques and models. The overall goal is to
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Biophysical and Biomedical Measurement Group - NIST | Gaithersburg, Maryland | United States | 19 days ago
, LET, dose rate, and related experimental conditions. - Analyze nanopore signals to quantify fragment-length distributions, chain scission, capture statistics, dose response, uncertainty, and
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cities and databases. Mandatory requirements: PhD in engineering, data science and computing, mathematics, or statistics; experience in engineering, data science and computing, mathematics, or statistics