Sort by
Refine Your Search
-
are an internationally recognized leader in distribution packaging research and innovation. Our state-of-the-art laboratory facilities include advanced testing equipment for vibration analysis, shock dynamics, compression
-
analytical stills, including the use of statistical software (R, JMP, SAS, etc.) Preferred Qualifications N/A Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information
-
Spectroscopy (XANES/EXAFS), including data processing and spectral fitting. - Experience using XAS analysis software such as Athena, Artemis, Larch, or equivalent platforms. - Record of conducting independent
-
organoids. Candidate FDA approved drugs will be tested using organoid systems and animal models of infection. The initial focus will be on RVFV, but may be extended to other emerging viruses. The research
-
necessary software provided by the school Key Responsibilities The Postdoctoral Associate will: • Develop research ideas and contribute to study design in areas including corporate governance and financial
-
neural receiver, from reflecting intelligent surfaces (RIS)/integrated sensing and communications (ISaC) to network design using O-RAN, from statistical learning theory to software defined radio (e.g
-
AI systems with conversational capabilities operating on campus and neighboring urban settings, and will examine how people perceive, trust, and interact with physical AI in public spaces
-
antimicrobial testing; prepare technical reports and presentations. • Conduct literature reviews and analyze existing vibration data conversion methodologies to assess applicability to paper packaging systems
-
collaboratively in interdisciplinary teams. Preferred Qualifications - Experience with stakeholder engagement or extension programming. - Familiarity with statistical software (e.g., SPSS) and qualitative analysis
-
software Preferred Qualifications • Experience in ecological modeling, population dynamics, or fisheries management • Familiarity with species distribution models, catch rate standardization, stock