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Field
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Computational Biology Department (CBD) is renowned for its interdisciplinary approach to studying biological systems using computational methods. Faculty and researchers collaborate across fields such as computer
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networks; using algorithms or computer simulations to study gerrymandering; or the role of information visualization to investigate and communicate complex information. Georgia Tech prides itself on its
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), to work on problems at the intersection of biology, medicine, mathematics and computation. The successful candidate will contribute to the development of next-generation learning algorithms to understand
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. Gabrielle Gutierrez, the data analyst will assist in research tasks in the Barnard Neural Computation Lab such as analyzing connectome data, writing code scripts for analysis, documenting findings, presenting
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the area of uncertainty quantification and
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computational approaches. We seek to create a positive, high-energy environment with open and honest communication to empower individuals to discover and refine their purpose and grow into the best versions
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with state-of-the-art computing and artificial intelligence is needed because the algorithms used to simulate and interrogate the dynamics for even one cell type – which can comprise billions
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offers an excellent learning opportunity for someone looking to develop skills in computational biology, algorithm development, and AI applications in biological research. Responsibilities: Assist with
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Design and apply deep reinforcement learning algorithms for online HVAC control in greenhouses and for data mapping with multi-robot systems. Implement and test algorithms in simulation and
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
Requirements REQUIRED: Ph.D. in computer science, mechanical engineering, applied math, or related field with significant research experience in machine-learning/AI algorithm development, specifically in deep