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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
(ex. ONT, Pacbio), including variant calling (SNV, copy-number profiling, structural variation), quality control, and interpretation of germline and somatic variants. Preferred Qualifications
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applicant will have: A PhD in Materials Science, Applied Physics, Electrical Engineering, Chemistry or a closely related discipline. Strong background in modeling and simulation of thermal/energy systems
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Required Working knowledge of at least one programming language, such as C++, Python, etc.; Working knowledge of Dynamic Traffic Assignment (DTA) and large-scale network simulation Have a good understanding
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, particularly at subseasonal and seasonal lead times. The successful candidate will lead simulations of convective systems using high-resolution regional and global models, evaluate model performance, and develop
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description of the research experience; A copy of the doctoral (PhD) degree diploma or A copy of the document confirming the award of a doctoral degree*; Scans of documents confirming work placements
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, and industry partners to gather data and align simulations with practical needs. The postdoctoral researcher will be helping the PI and experts in managing projects, supervising students, funding
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | about 1 month ago
the remuneration is paid, they will be receiving no pension under the social security scheme. Specific Requirements The candidate's application should include: employment application copy of the diploma conferring
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that include a mix of research design, fieldwork, data science, simulation modeling, writing, and presentations. The overarching goal of the Postdoctoral Associate will be to systematically investigate, evaluate
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development using ROS and/or ROS 2. Experience with simulation environments, digital twins, or physics-based robotic simulators, such as Isaac Sim, Newton, MuJoCo, PyBullet, or similar platforms. A demonstrated
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. Applicants are expected to have strong programming skills in Python, hands-on experience with PyTorch, and practical experience with GPU computing. Experience with engineering simulation, computational