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Field
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-based topology optimisation and de-homogenisation Adaptive meshing algorithms for topology optimization PDE-driven topology optimisation methods Research fund application Collaboration with industrial
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Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy
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, working with iMPACTS researchers led by PI Shariff, Co-investigators, graduate and post-graduate researchers. Assess regulatory processes (such as outsourcing and algorithms), and implementation
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perform a variety of duties to help with the publication of work. Essential Job Duties Maintaining quality control standards to preserve the integrity of data and findings. Scheduling and conducting
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factors" - those key issues that must be addressed to achieve the established discharge plan; use of clinical pathways, algorithms, and clinical guidelines; use of specific protocols to address component
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algorithms to develop cybersecurity, optimization, and control solutions for real-world grid applications. Candidates will be required to work in at least 4 of the following areas: Build, simulate, and
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will have the opportunity to develop innovative algorithms and models that integrate multiple data modalities, collaborate with industry partners, and contribute to high-impact publications. Job
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Department: College of Science Classification: Post Doc 12 month Job Category: Postdoctoral Faculty Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Fairfax, VA Workplace
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Engineering is seeking a highly motivated Postdoctoral Scholar to contribute to cutting-edge research in the development of Machine Learning and Artificial Intelligence (ML/AI) algorithms tailored for Space
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● Familiarity with single cell data analysis is preferred, but not required. ● Experience using a shared computing environment and a scheduler such as SLURM or qsub preferred ● Experience designing