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Field
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. The work further includes detailed analysis of nuclear pore complex architecture using electron tomography and 3D serial block-face scanning electron microscopy, supported by advanced image analysis tools
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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services research). Significant relevant research experience in publichealth / social sciences, relating to mental health/ substance use. Experience in quantitative and qualitative analysis specifically
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practice (e.g., Python/MATLAB/C++ and/or established modelling platforms). Familiarity with asymptotic and multiscale mathematical analysis methods to ground proof numerical simulations Strong communication
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). Demonstrable familiarity with technology translation,commercialisation of research, or similar entrepreneurial activity. Experience in method development, validation, and quantitative data analysis. Experience
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POST-DOCTORAL RESEARCH FELLOW - CEVIPOL (Centre de la vie politique) – Université Libre de Bruxelles
, and coalitions involved in either promoting or resisting autocratisation across the selected cases. By employing a combination of quantitative mapping and analysis, temporal sequencing, network analysis
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position: Postdoctoral Research Fellow for Large-Scale Longitudinal Data Analysis in Empirical Education Research (m/f/d, E13 TV-L1, 100%, for 3 years with potential of extension for 3 more years) We are
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/InstituteŁukasiewicz Research Network - PORT Polish Center for Technology DevelopmentCountryPolandCityWrocławPostal Code54-066StreetStabłowicka 147Geofield Contact City Wrocław Website https://port.lukasiewicz.gov.pl
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CAS will provide the necessary expertise in the analysis of complex data, including multimodal neuroimaging measurements, the use of information theory, nonlinear dynamic systems, network theory
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various fields ranging from elemental analysis to radiochemistry Where to apply Website https://apply.refline.ch/673278/3870/W8edd1p-Vy6MYTPNc0R9TIj0ySgjdwThQdo66LIUiD… Requirements Research