50 parallel-processing-bioinformatics Postdoctoral positions at Oak Ridge National Laboratory
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compliance, reproducibility, and interoperability across scientific domains. By improving data readiness processes, this role will amplify the potential of AI-driven discovery in areas such as high energy
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in evolutionary biology, plant biology, genomics, bioinformatics, mathematics, statistics, computer
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(ORNL). This position will focus on the development, characterization, and application of engineered nanoparticles for medical isotope systems, including technologies relevant to isotope processing
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process-based modeling of hydrologic or land surface processes. The WSMG group develops advanced surface/subsurface integrated hydrologic and reactive transport models, works with other groups to compare
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-class S&T products for sensitive national security missions. The selected candidate will support research efforts in signal processing and analysis, with an emphasis on the development of novel algorithms
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temperature environments. You will collaborate closely with an interdisciplinary team with expertise in quantum sensing, quantum optics, materials synthesis and processing, and condensed matter theory. This position resides
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to contribute to development of alloys with desirable advances in mechanical properties, thermal/electrical properties, and processability. A background in solidification processing, high pressure die casting
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and dynamic processes Publish research results in peer‑reviewed journals and present at scientific conferences Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core
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). Major Duties/Responsibilities: Designing, developing, and conducting experiments related to data center thermal management technologies, phase change heat transfer processes, dehumidification systems
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process