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and motivation CV Reference letters Diplomas Further information about the group and the institute can be found on our Website .Questions regarding the position should be directed to Prof. Pedro Beltrao
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qualifications that include strong analytical and quantitative skills in computational solid mechanics, nonlinear dynamics, data analysis, mechatronics, and interest in laboratory-based experimentation and
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. Applications via email or postal services will not be considered. Further information about Functional Inorganic Materials Group (KovalenkoLab) can be found on our website Kovalenko Lab Website Questions
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You will support the ESA Chair and LEA with general research-related tasks relating to ongoing projects, e.g., literature reviews, data analysis, reference management, and (depending on experience
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are an international team of highly dedicated economists and data scientists interested in analyzing global inequalities and contributing to global development solutions. Our research group is closely linked to NADEL
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have experience with: quantitative biophysical methods (e.g. fluorescence anisotropy, ITC, SPR). cryo-EM (sample/grid preparation, data acquisition, data processing, model building and interpretation
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. fluorescence anisotropy, ITC, SPR). Experience with cryo-EM workflow (sample/grid preparation, data acquisition, data processing, model building and interpretation). The writing of scientific papers and active
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, contributing experimental data and validated modelling frameworks to the overall goal of establishing a deeper understanding of the structural behaviour of TESC members in fire and the influence of the timber
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biomarkers. To develop organ-on-a-chip to evaluate health impact of environmental pollutants. To perform data analysis and result communication. Profile A doctoral degree in biotechnology, bioengineering
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observations, and to quantify how fires contribute to the global ozone background now and in the future. Job description The doctoral student will develop skills in atmospheric chemistry, global modeling, data