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Field
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Job Description Join the Multi-omics Network Analytics Research Team as a Postdoc in Computational Biology at the Danish Technical University (DTU) Are you an experienced scientist with a passion
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for computer simulations, and conduct theoretical research to submit proposals to the ongoing study or work items, with a view towards patenting and possible inclusion into the future Releases Perform research
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and other material processing techniques, focusing on the integration of organic and inorganic materials. You will carry out in-depth structural and performance characterization, including permeability
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capabilities in microscopy platforms for the CNMS research and user communities. Work with ORNL’s 3D printing and machining facilities to ensure the design and fabrication of high-quality, reliable assets
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Research Associate position, with the possibility of extension for up to two years based on an annual basis dependent upon satisfactory performance and the availability of funding. The candidate will be
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editing. The individual will be expected to hold high standards in how information is developed and presented. In addition, this position will require the ability to manage, document, and organize multiple
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of the field through the development and use of machine learning, deep learning, and high-performance computing (HPC). This position resides in the Chemical Separations Group in the Separations and Polymer
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possess Experience developing or commissioning detector hardware and electronics. Data analysis at a major high energy physics experiment, analysis software development, statistical methods. Computing and
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skills • Excellent verbal and writing communication skills. • Excellent programming skills (R or Python, Linux shell scripting) • Experience with high performance computing in Linux environment is required
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industrial heat pumps). The role also involves research and analysis of technologies and practices for increasing the energy efficiency of the industrial sectors. The primary objective is to deliver the direct