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techniques; chromatography; NMR, MS, IR, UV-Vis spectroscopies; and elemental analysis. • Methods for nanofabrication: mechanical exfoliation, chemical vapor deposition (CVD), and lithography techniques
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programming (MATLAB/Python) and/or structural analysis software (e.g., OpenSees, ABAQUS) is highly desirable Willingness to participate in experimental testing campaigns and multi-national secondments
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undertake an independent project on Asian nail salons in Helsinki that will lead to a PhD dissertation. The doctoral researcher will participate in the collection and analysis of the empirical materials
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of statistics and quantitative data analysis, hands-on experience with R or Python strong interest in prototyping commitment to and interest in the design and implementation of Open Science/Open Source practices
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engineering. Preferred Qualifications: PhD in Chemical Engineering or closely related field. Extensive, hands-on experience with CFD analysis and modeling, including proficiency with leading CFD software tools
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lines; generation of samples for proteomics analysis Data integration and analysis, including transcriptomic, proteomic and library screen data Target validation by CRISPR-Cas9 knockouts in primary AMLs
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study in Germany. Your work environment The research unit Educational Measurement focuses on the measurement and analysis of psychological characteristics relevant for applied educational research
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Montado platform, which is part of the eLTER Portugal infrastructure; 2) Harmonisation of data from the LTsER Montado platform; 3) Spatio-temporal analysis of environmental and biodiversity variables in
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interaction and human motion analysis Prior knowledge of machine learning/deep learning applied to motion analysis (e.g., relevant courses and research experience) would be an advantage IELTS score of 6.5
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the genetic and clinical variability of PRPH2-IRD by studying a large patient cohort with detailed genetic analysis and advanced imaging techniques. The project will focus on identifying genotype–phenotype