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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 11 days ago
for integration into ongoing and future NASA field campaigns. We are seeking postdoctoral candidates with a strong background in laboratory instrumentation, RF engineering, signal processing, or related fields who
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closely with prof. Roel Leus on advancing the state of the art in decision diagram-based methods for combinatorial optimization, including the development of new theory, algorithms, and high-impact
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integration. Investigate how traction grids can support high-power charging at construction-sites though optimal sizing of chargers and mobile battery storage systems based on the demand and through energy
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(optimism) nor impossible (pessimism). The team History of Ethics and Law of Responding to Suffering investigates how medieval and early modern thinkers conceptualised and responded to extreme human and non
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formulations, including additives, collectors, defoamers, or related specialty chemicals, is considered an asset. Familiarity with green chemistry principles, sustainable synthesis, and process optimization is
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of acaricides, and in vitro models to investigate the transmission of tick-borne pathogens. Job description: Independently conduct a research project focused on the development and optimization of artificial tick
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characterisation (colloidal stability, rheology, etc.) - Expertise in printing processes, in particular inkjet process (optimization of parameters) - Expertise in optical and luminescence characterization, including
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
simulation, shape/topology and system-level design optimization applied to deformable systems — advanced level Data-driven design and modelling approaches (machine learning applied to physical/mechanical
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biological approaches, in vitro cell culture systems, and novel mouse models. Optimal candidates will have experience with immunometabolism and use of these techniques and models. The overall goal is to