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-on expertise in Modelica-based tools and familiarity with HVAC systems and ASHRAE standards • Strong proficiency in modelling platforms, data analysis, and optimization techniques • Good communication skills and
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, such as semi-Markov models linked to disease transmission models. The framework builds on existing models but these must be adapted to account for differences in epidemiology and disease burden between
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and the core values that are critical for the long-term strategic growth of our division and the university. For more information, please visit https://finance.rutgers.edu/ . Posting Summary Rutgers
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cell models from different species, and models based on human induced pluripotent stem cells applying methods such as RNAscope, RNA seq, PCR, histological stainings (IHC/IF). Conduct independent research
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successful delivery of key milestones. Key Responsibilities Lead the end-to-end design and development of core system components, including AI-based encoding/decoding modules, model integration pipelines, and
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control framework for microfluidic live-cell analytics in close collaboration with partners at HZI, Helmholtz Munich and HHU. Your tasks in detail: Establish deep-learning–based segmentation, species
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catalysis and have documented experience on developing MEMS-based devices for ultrasensitive catalytic measurements. This includes extensive experience with design and cleanroom fabrication of MEMS devices
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certification based on proof of validity and reproducibility. The R&D questions concern : (For P1) "AI as a service" to enrich engineering: modelling of the changing, complex and uncertain environment
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of controlling and improving radio propagation for IAM operations. While Cohort 1 concentrates on high-fidelity finite-element modeling of the electromagnetic near field of meta-surfaces under coupled physical
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in experimental design, data analysis, and scientific writing Added value: expertise in microbial ecology, bioremediation, or omics-based approaches Where to apply Website https