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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
assist the transition toward a green and circular economy. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404364/susmat-rc-postdoc-p… Requirements Additional Information STATUS
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coordinating the research collaboration between the Africa Business School and the Growth Lab at Harvard Kennedy School. The primary focus of this position will involve data collection and analysis using
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), and assembly of drone airframes. Testing: Wind tunnel, fatigue, and flight tests for mechanical and aerodynamic validation. Data Processing: Documentation, data analysis, and contribution to reports
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foundation in Bio/chemistry, Bioprocess, and Microbial Biotechnology. Additionally, candidates should possess expertise in molecular biology and chemical analysis. Proficiency in biostatistical analysis, data
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be an effective team player to interact constructively with the interdisciplinary team of the CBS department and other collaborators with different backgrounds. For further information, please contact
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The successful candidate will contribute to the following research axes: AI-driven territorial diagnostics and foresight, integrating multi-source satellite data with machine learning and spatial modeling Climate
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-based data collection and integration, fieldwork, mineralogical and geochemical characterization (gypsum, anhydrite, native sulfur). Ability to engage professionally with a diverse population of faculty
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and analysis of experimental data; Take the lead on writing of research reports and communicating the scientific results for conferences and scientific publications Participate in the training and
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experience in natural product extraction, purification, and metabolite identification. Proficiency in the use of LC-MS/MS, GC-MS/MS, NMR, and relevant data analysis software (e.g., MestReNova, Thermo