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into the manifestations, causes, and treatment of schizophrenia. Essential Functions: • Developing new statistical methods to model multimodal neuroimaging data, multi-omics data, electronic health record (EHR
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. The associate will join a multi-disciplinary research team within the Schnepel group that focuses on the development of novel biocatalysts for the synthesis of fine chemicals, pharmaceuticals and bioconjugation
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Opportunity to help scale breakthrough hydrogen storage technology through advanced automation in clean energy manufacturing Base Salary $113,400 - 151,328 (Academic Level A/B) + 17% superannuation About the
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will provide support for multi-body simulations. You will assist in writing and setting up research projects within the Human Movement Biomechanics research group. You will be responsible
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existing hydrodynamic code to simulate experiments from the literature, implement and improve multi-phase behaviour laws to optimise their predictive capabilities, and carry out new laser shock experiments
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large, multi-site human cohorts in Europe. The successful candidate will oversee the collection, processing and analysis of microbiome samples, ensuring harmonised protocols, high-quality data generation
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sustainable and optimized processes for vanadium extraction and purification, with the goal of enabling large-scale redox flow battery deployment for energy storage. Scope of Work The successful candidate will
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experience level at appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-oct-2025-scales/t23
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postdoctoral stipend scale, starting at $67,000 commensurate with years of postdoctoral experience, and includes full Penn benefits. More information can you found at https://postdocs.upenn.edu/resource/stipend
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project contests in the research line. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Integrating data from optical sensors and multi-omics in systems biology (SB), Genome-scale metabolic model