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to gamma rays, making coordinated observation at all spectral scales essential to understand their nature, dynamics, and environment. The involvement of the astrophysical community in the study of high
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expertise and tools in order to carry out innovative research: nuclear physics, radiochemistry, biomedical imaging, dosimetry, irradiation platforms, multi-scale simulation and modeling, as well as a
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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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at the scale of biobanks. The position will focus on methodological and applied work in either one of the two broad, complementary areas: High-dimensional causal mediation and inference using AI methods
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to the One Health Environmental Sensing project, which focuses on the development of novel sensors to enhance the understanding of multi-drug resistance and track antimicrobial resistance using a One Health
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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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candidate will be encouraged to independently explore large-scale omics datasets (e.g., bulk and single-cell RNA-seq, spatial transcriptomics, proteomics) to identify and prioritize novel biomarker
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training network committed to advance Multi-Scale Framework for Single-Cell Protein (SCP) BioSolutions that are more environmentally sustainable than current protein production systems. The PhD student will
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, multi-agent systems, and agent based modelling) and energy systems (energy modelling, renewable energy, energy management, and energy in agriculture). The position will be under the direction of Dr. Karl
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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