36 modal-analysis-artificial-intelligence Postdoctoral positions at Northeastern University
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of Artificial intelligence, machine learning, omics data integration, and drug discovery and maintain knowledge of literature related to the areas of research pursued Mentor and train junior team members Foster a
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to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high- growth sectors. Together, we envision
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strategies. The candidate will join the Machine Intelligence Group for the Betterment of Health and the Environment (MIGHTE) led by Prof. Mauricio Santillana. MINIMUM QUALIFICATIONS PhD in a quantitative field
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at the table from day one, we are creating an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life
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including solvothermal methods, powder X-ray diffraction, thermogravimetric analysis, gas adsorption analysis, differential scanning calorimetry, and breakthrough analysis. KEY RESPONSIBILITIES The primary
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formulation development, in vitro performance testing and in vivo Pharmacokinetics and efficacy research for a variety of modalities and complex dosage forms (e.g., long acting parenterals, nanomedicine, and
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, prototyping and data analysis to contribute to innovative translational near-infrared spectroscopic and tomographic imaging systems and clinical applications. The candidate will lead the design, testing and
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diffraction, thermogravimetric analysis, gas adsorption analysis, differential scanning calorimetry, and breakthrough analysis. KEY RESPONSIBILITIES The primary responsibility of this position is to conduct
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-meditation, motivational interviewing, meta-cognitive coaching, and multi-modal interventions). The applicants should have the relevant methodological expertise to investigate individual differences
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population. The postdoctoral researcher is expected to take a lead role in data analyses related to the project. Successful candidates should have a strong background in fMRI data collection and analysis