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experience should cover basic chemistry analytical skills to large scale pilot experience, hands-on, and data analysis. This includes experience on corrosion, kinetics, emission impurities, and solvent
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effector functions. Such understanding is essential for the development of new therapies against cancer and infectious diseases. Further information on our work can be found on our homepage and in our
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data analysis and quantitative evaluation of imaging or histological data Fluent in English and strong communication skills in an international team environment Benefits Opportunity to integrate into a
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data from large scale DTU pilots Conduct pilot-scale CO2 capture experiments up to TRL7 Perform physical-chemical analysis of innovative solvents and gases The preferred candidate should have the
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
of the obtained materials as electrocatalysts Analysis of the activity, selectivity, and stability of electrocatalysts Communication of the experimental data obtained Writing papers and presenting the results
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Multidimensional Omics Data Analysis You will be responsible for Prediction of metabolic activity in complex microbial communities, leveraging
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experience with spatial data analysis using GIS tools or spatial libraries and familiarity with common land-use datasets would be advantageous familiarity with environmental or agricultural economics research
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State University of New York University at Albany | Albany, New York | United States | about 21 hours ago
of data) Data analysis Papers writing Other reasonable duties as assigned Functional and Supervisory Relationships: Reports to: CTG UAlbany Research Director May supervise employees as assigned: UAlbany
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link for full details. Key duties and responsibilities Developing a research protocol, undertaking data collection, data analysis for the qualitative research Conduct and manage research and related
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transcriptomics, and large-scale transcriptomic data analysis. In addition, the candidate should have experience in using mouse tools to study conserved mechanisms in mice. Finally, a deep understanding of the