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Details Title Postdoctoral Fellow, Digital, Data, and Design Institute - Digital Reskilling Lab School Harvard Business School Department/Area Position Description The Digital Reskilling Lab, led by
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Prof. Nada Amin at Harvard SEAS. The postdoctoral fellow should be interested in the intersection of programming languages and artificial intelligence (PL+AI), in particular verification and large
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archival data such as AKARI, DIRBE, FIRAS and Planck, ongoing projects like COMAP, PASIPHAE, Simons Observatory, SPHEREx and SPIDER, as well as future experiments like LiteBIRD and FOSSIL. We have a large
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in epidemiology, statistics, demography, geography or other relevant quantitative science, with experience of analysing large, complex longitudinal data for environmental health research. Customer
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Are you passionate about developing numerical algorithms or high-performance software for scientific computing? Do you have expertise in numerical linear algebra or experience with large-scale
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working at the intersection of econometrics, macroeconometrics, and international economics. Areas of emphasis include: Nowcasting and forecasting using large and diverse data sources Macroeconometric
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by Research Asst. Prof. Nilanjana Sadhu. This role involves quality control and analysis of large-scale proteomic data generated using affinity-based and mass-spectrometry-based methods. The Research
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of mycobacterial enzymes and large protein complexes. Set up and perform cryo-EM experiments, including data collection, processing, and structural analysis. Provide mentorship to students and junior researchers in
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numerical algorithms or high-performance software for scientific computing? Do you have expertise in numerical linear algebra or experience with large-scale computing and want to broaden your skills? Would
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-photon calcium imaging and virtual reality in awake behaving mice. Analyse in vivo large-scale two-photon calcium imaging data sets combined with behavioural data (pupil diameter, speed, motor movements