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. Requirements: PhD in a relevant discipline (e.g. Data Science and Analytics, Education, Psychology, Social Sciences) Applicants with master’s degree in relevant discipline are also invited to apply Proficiency
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science, climate science, hydroclimate science, hydrology, environmental science, geography, data science, artificial intelligence, computer science, or another related discipline. Have strong research
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predictive control (MPC), data-driven approaches, and physics-informed models. Perform dynamic simulation and techno-economic and environmental assessment under real operating conditions and uncertainty
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characterization of tissue simulants and non-Newtonian materials, including support for 3D printing and additive manufacturing processes. Develop and optimize experimental setups, testing protocols and data
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related field Experience conducting quantitative and/or qualitative research Excellent written and communicative skills Disposition for critical thinking and inquiry Good analytical skills Excellent problem
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, peptide and protein science Experience in small-molecule drug discovery, peptide synthesis, protein chemistry and bioconjugation research Experience in basic cell & molecular biology, analytical chemistry
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experience with scientific literature reviews and evidence synthesis to support ongoing research and evaluation activities. 4) Receive training in the use of SAS and other analytic tools for data management
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, including collaboration with industry partners. Experience applying AI, machine learning, or advanced analytics to integrate chemical, sensory, process and experimental data to support innovation and process
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of research. Job Requirements: PhD degree in Computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent
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University of Southern California, Department of Molecular and Cellular Biosciences | Los Angeles, California | United States | about 9 hours ago
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