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- and post-operative management and assessment of animals after transplant (micro)surgical procedures. Experience with mouse models of survival surgery is necessary. For appropriately qualified candidates
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a postdoctoral scholar to lead collaborative efforts among researchers at the University of Utah and UC San Diego in developing and applying methods in predictive and causal modeling of complex
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methods in Social Sciences, with proficiency in data analysis procedures such as visualisation, differential analysis, mixed regression models, structural equation modelling, and supervised and unsupervised
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ You will be hosted in the Process Modelling, Automation and
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the previous point and the documents proving the conditions in this Notice, namely: a) Application for Application addressed to the President of the Selection Jury (model attached); b) Copy of doctoral
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, foreseen in the application: 1-Development of the SUPERB framework 2- Definition of building classes and numerical models for physical vulnerability assessment 4-Definition of baseline data reflecting
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postdoctoral fellow interested in gaining training and experience in disease modelling and transnational science. The successful candidate will lead collaborative efforts among basic and clinical researchers and
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development. The successful candidate will contribute to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model
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biological catalysts — under operational conditions. Your Responsibilities: Develop and implement in situ EPR methodologies on state-of-the-art spectrometers Conduct research at the intersection
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effect can be predicted. You will acquire in-situ and remote-sensing data of cirrus forming downwind of flights over the past decade, along with measurements/estimates of local conditions and emissions