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Company Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive
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to link microbial communities to climate-driven biogeochemical shifts. You hold a PhD in Marine Biology, Microbial Ecology, or related fields, have a strong background in omics data analysis (R
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experience: Essential criteria PhD awarded in genetic epidemiology, statistical genetics, bioinformatics or related discipline Postdoctoral research experience in genetic epidemiology, statistical genetics
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prototypes. Top-down 4D characterisation of enamel structural evolution using macro- using multiple techniques at macro-, micro- and nano- scale resolution in macro- and micro-fluidics setups to observe enamel
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uncertainty quantification via conformal prediction. You’ll contribute to open-source projects, extending tools like MONAI for the computational pathology community, and support the data science team in
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uncertainty quantification via conformal prediction. You’ll contribute to open-source projects, extending tools like MONAI for the computational pathology community, and support the data science team in
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brightest faculty, and make a positive difference in the community, the state and the world. You’ll like what you find here. Become part of The University of Alabama family. Connections working at University
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qualities Applicants must hold a Norwegian PhD or an equivalent degree within marine biogeochemistry, oceanography, climate sciences, or related fields, and must have submitted his/her doctoral thesis
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should find solutions to address the challenges related to implement trustworthy AI-based NMB. The PHD student is responsible to explore and develop physics aware AI models for maximizing NBM flexibility
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of thermomechanical properties of diamond thin films and other thermal interface materials. Communicate effectively with PI and collaborators in regular meetings. Develop manuscripts for publishing in archival journals