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USDOT-funded, multi-year R-SEAT (Rural Safe Efficient Advanced Transportation) Center research, collaborating with consortium universities and local DOT partners on pilot projects, data fusion efforts
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research prototypes to real-world deployment environments, including cloud, secure enclaves, trusted research environments, and leadership computing platforms. Candidates should be comfortable working in a
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, spatiotemporal modeling, high-dimensional statistics. ● Proficiency in statistical programming (R and/or Python) and good practices for reproducible research. ● Experience working with large datasets and cloud
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with PyTorch, required to have experience developing code with a team through collaborative version control Experience working with large datasets and cloud computing environments. Solid background in
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. The position focuses on developing integrated circuits and hardware systems that merge sensing, signal processing, and inference directly at the analog and RF interface. This approach enables orders-of-magnitude
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in C++/Java/Fortran 90, Python/MATLAB, and MPI-based parallel computing Strong publication record as first author in peer-reviewed journals Preferred qualifications Experience with 3D conjugate heat
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the specific research field (maximum 10) Motivation letter (maximum 10) Experience in the research field (maximum 20): 3 years (10 points), >3 years (20 points) Other criteria based on specific merits (maximum
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | about 1 month ago
. Eligibility criteria Qualification criteria high evaluation of the doctoral dissertation, as confirmed by peer reviews (0-10 points). Minimum number of points required: 8; at least 4 years of research
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computing and/or cloud computing; familiarity with Earth system models through model development, model execution, and/or model performance diagnoses; applied mathematics methods such as machine learning
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feet of specialized laboratory space. These labs are outfitted with millions of dollars’ worth of advanced equipment for machining, rapid prototyping, 3D printing, composite materials manufacturing, and