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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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) molecular dynamics simulations; and 3) high-performance computing environments. Prior programming experience is preferred but not required. The postdoctoral scientist will design, perform, and develop new
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Applications are invited for a fully funded fixed-term at the Research Assistant / Associate (PostDoc) level in high performance computing for computational fluid dynamics applications. High
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applicant. Access to high-performance computing facilities and cloud-based quantum hardware will be provided to support simulation and verification of theoretical methods. About you The successful candidate
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-performance computing systems Familiarity with operating systems such as Linux/Unix and proficiency in shell scripting Strong programming skills, preferably in Fortran and Python Competency in visualizing and
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coordinate project-team meetings, both in person and via Microsoft Teams or other videoconferencing application. 6. Use computers and technical equipment to perform data analysis, statistical analysis, and
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Beam Physics Case: This project involves performing realistic simulations to support the physics case for incorporating a polarized deuteron beam in the EIC. Duties/Responsibilities Design and execute
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Able to purify/characterize enzymes/antibodies and isolate/analyze DNA, RNA, proteins Able to perform genome sequencing and editing Skilled in different directed evolution techniques Well-developed
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models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations and/or experimental