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Development of new catalysts with features (composition, topology, morphology) aimed to improve their performance for CO2/H2 conversion, by a synthesis – characterization – testing loop Perform kinetic and
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The DeepWave industry-funded consortium is looking for two outstanding postdoctoral researchers to undertake impactful research on the development and application of cutting-edge machine (deep
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development. NTNU is responsible for supervising the PhD and postdoctoral fellowships included in the centre. There will be four PhD’s and postdocs within marine hydrodynamics. There will be additional directly
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School. KHRI and the neuroscience community at the U-M provide a highly supportive and diverse research environment and excellent career development opportunities for postdoctoral fellows. We are committed
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 11 days ago
for novel drug applications Gain understanding of data pipelines used for dashboard development. Mentor: The mentor for this opportunity is Mary Doi (mary.doi@fda.hhs.gov ). If you have questions about the
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organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements Development of data collection and storage framework Plan and perform the collection
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Faculty development initiatives, including providing faculty members with guidance on teaching methodologies, assessment strategies, and professional development opportunities. Quality improvement efforts
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to, and opportunities for, disentangling selection and causal effects for the proposed research questions. The proposal must include a paragraph declaring if and how AI was used in the development
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academic activities such as timetabling, faculty and guest lecturer coordination, student engagement, and reporting Contribute to curriculum development and delivery of teaching across multiple formats (e.g
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contribute to the development of next-generation modelling frameworks that combine physics-based hydrodynamic modelling with artificial intelligence (AI) and data-driven methods to better predict contaminant