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ability to thrive in a collaborative, mixed-methods research environment. Strong personal motivation, self-management, and detail-oriented approach. Ability to adapt and navigate complex health systems and
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the application of rock physics models, Bayesian inversion methods, and machine learning algorithms in the electromagnetic context. Qualifications and personal qualities: Applicants must hold a master’s degree (or
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communication skills to collect empirical data, as well as knowledge of the dominant paradigms, theories, and empirical methods applicable to the topics mentioned above. Candidates who have strong knowledge and
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interdisciplinary team of social scientists, supported by a dedicated group of research assistants. Projects at GAI combine rigorous empirical methods with real-world relevance, offering opportunities to produce
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from basic schlenk technique to computational methods with the Gaussian program. Draft detailed reports conveying experimental results and presenting findings to other scientists. Monitor laboratory
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campaigns Strong communication skills in English (spoken and written) Experience with data integration and analysis to connect results from different methods (rheology, birefringence, scattering) into a
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, techniques and methods. Undertake management/administration arising from research. Contribute to Departmental/School research-related activities and research-related administration. Contribute to enterprise
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: Youth Futures after Mobility (YFAM). The project is a multi-method longitudinal wave-based study (2020-2030) of transnationally mobile youth and their transitions to adulthood, led by Professor Anita
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treatment using statistical methods. . WORKPLACE AND SCIENTIFIC SUPERVISION: The work will be developed at the CDRSP, under the scientific guidance of Researcher Dr. Juliana Rosa Dias. . GRANT FINANTIAL
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods