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chance to perform experiments at the cSAXS beamline of the upgraded Swiss Light Source synchrotron, as well as other facilities around the world. Profile We are looking for a person with: PhD in physics
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
optimization. Participate in collaborative research projects and mentoring. Contribute to academic publications, reports and seminars The selected candidate will be part of the Foundations Cluster of CIDSAI and
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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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polymerization techniques; 2) development and optimization of protocols for the preparation of nanoparticles; 3) evaluation of the unique properties and functionalities of the developed biomaterials. This position
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operating procedures (SOP), build capacity at the KZN sequencing facility by train staff members in the development and implementation of the optimal sequencing workflows at the KZN laboratory. You will
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 2 months ago
of Christina Lopano. This project will be hosted by the NETL Pittsburgh, PA campus. This project presents an educational opportunity in additive manufacturing to facilitate the optimization and integration
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to additive manufacturing (AM), virtual manufacturing, material characterization, topology optimization, and real-time sensing. This position resides in the Computational Sciences and Engineering Division (CSED
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, conduct experimental campaigns, perform materials synthesis and analysis, sub-component fabrication, process optimization and integration, and prepare technical documents and research publications. Present
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. REQUIREMENTS PhD in Bioinformatics, Computational Biology, or a related field. Strong experience in bioinformatics and analysis of next-generation sequencing data. Proficiency in programming languages such as R
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for predictive modeling, high-dimensional optimization, uncertainty quantification, forward and inverse design, including the development of Digital Twin components, under the supervision of Prof. Douglas H