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Health Framework and Evaluation Toolkit, defining optimal indicators, effective evaluation approaches and benchmarks for meaningful menstrual health improvements. This is an exciting opportunity
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the project directors and collaborators to develop data-driven and economically grounded frameworks for understanding how AI-enabled control, optimization, and market design can support large-scale
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implantation and pregnancy outcomes. Ultimately, this work aims to explore the potential applications of these approaches in assisted reproductive technologies (ART), including optimization of embryo culture
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contribute to troubleshooting and optimization of experimental systems. Basic Qualifications: Bachelor's or Master's degree in Bioengineering, Biomedical Engineering, Neuroscience, Physiology, or Electrical
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 days ago
and optimizing the novel system. Through numerical modelling, the fellow will investigate the potential of coupling separation membranes to plasma to obtain the separate production of carbon monoxide
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. You will profit from a systematic training on the job, in addition to personal development possibilities and our pronounced vocational training culture. If you wish to optimally combine work and family
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to discover and optimize novel therapeutics, with future research focusing on developing next-generation proximity-inducing drugs. Key Responsibilities: Propose hypothesis-driven target molecules based
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 3 days ago
experiments (ELISA or SPR) Develop and optimize protocols for sample preparation and imaging by cryo-EM Collect and analyze cryo-EM data using a Tundra microscope Monitor and troubleshoot experiments Analyze
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farming systems for vegetables (e.g. too high humidity, too high VPD, low light intensity, low or high water potential in the root environment, salinity, bacterial and fungal diseases) and to optimize
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: 3 months Objectives Development of learning models for spatiotemporal data applied to the optimization of multimodal transport networks in medium-sized cities, incorporating explicit criteria