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Field
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. Develop and implement simulation, modelling, and data analysis approaches to support the design and optimization of nanophotonic materials and devices. Collaborate with internal and external stakeholder
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the soil-water-plant-air continuum using process-based models. You will learn how to take proper soil, plant and air samples that influence carbon and nitrogen dynamics and learns how soil and plant
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cellular biology, chemical biology, quantitative proteomics, CRISPR genome editing, advanced fluorescence imaging, and cancer models to uncover fundamental mechanisms of genome maintenance and identify novel
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questions. Refine quantitative analysis and predictive modeling skills, learning modern approaches for identifying key fiber traits linked to material performance. Develop postdoctoral-level scientific
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The post is part of EXPLORA (“Perception of materials, objects and spaces through active EXPLORAtion”), an MSCA Doctoral Network funded under Horizon Europe. Project 6, hosted at the University of Birmingham
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 11 hours ago
-reported tolerability endpoints, or other endpoints of interest. Statistical approaches under evaluation could include joint models for longitudinal and time-to-event data, mixed-effects models for repeated
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 11 hours ago
just medicines. Research Project: Under the guidance of a mentor, you will implement two-stage meta-analytic models and weighted least squares correlation methods to estimate the surrogacy strength
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erosion, accumulate sediments, and restore land lost to seawater Develop new methods to upcycle solid waste to produce sustainable material for biocementation Perform numerical study of the model test
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Apply Now How to Apply Application process Please visit the CHEAR Fellowship page (CHEAR Fellowship | CHEAR ) Application materials include: Fellowship application form An up-to-date curriculum
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• PhD degree in STEM. • Proficiency in at least one mainstream deep learning framework (PyTorch or JAX) • Fundamental knowledge of physics, chemistry, and materials science. Research