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or an equivalent foreign degree, obtained within the last three years prior to the application deadline Experience of experimental synthesis or process work under explicit safety requirements
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science, machine learning or a related field. Strong experience working with clinical, biomedical, genetic, electronic health record, or health administrative data. Experience with large language models
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at KSU. This position is considered limited-term staff since it utilizes contingent funding which is currently only secured through June 30th, 2027. Employment thereafter will be conditional based
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methylation patterns, and histone modifications, to determine the safety of CK2II as a potential fertility preservation agent. De novo mutations will be analyzed in both oocytes and somatic cells, while genome
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and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction; · build physics-informed and hybrid AI models that combine geophysical knowledge with data
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the School of Engineering, including a large-scale machine shop for precision fabrication, advanced rapid prototyping capabilities, and a 10,500-square-foot plastics processing laboratory with industrial-scale
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, pharmacology, genomics and multi-omics, as well as growing methods in advanced analytics of health data e.g. machine learning to improve human health with a focus on therapeutics. These posts will work alongside
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Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our
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as a member of the GHER contributing to the EU research project COMEDI in a consortium of 11 leading partners in the field of data assimilation and deep learning. A successful applicant will develop
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 6 hours ago
stochastic methods. Build 3D geologic and petrophysical models of oil and gas reservoirs using well logs, core, seismic, and completion data. Integrate machine-learning and data-driven techniques for reservoir