501 parallel-and-distributed-computing-"Meta"-"Meta" positions at Nature Careers in United States
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for the treatment of autoimmune, genetic, inflammatory, neurologic and other diseases. The successful candidate will be expected to establish and maintain a vigorous, externally funded research program, while
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opportunity to strengthen our team by recruiting faculty with expertise in high-throughput modeling using complex in vitro systems. Adding a sophisticated organoid program has clear potential to enhance
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our innovative research program, developing novel approaches to cellular fate conversion through transcription factor-mediated reprogramming. This is a leadership position reporting directly to the
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team, your expertise in AI and other cognitive computing methodologies, such as but not limited to machine learning (ML), large language models (LLMs), small language models (SLMs), natural
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, biostatistics, and cancer prevention. The Public Health Sciences Division is home to over 80 faculty and affiliates and was the first cancer prevention program funded by the National Cancer Institute. With a
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applications from candidates engaged in high-quality research in Computational Neuroscience, including but not limited to areas such as artificial intelligence, convolutional neural networks, reinforcement
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to lead a nationally recognized research program . The Translational Scientist will provide scientific leadership for the program. The program is a major growing and expanding program within the Cancer
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position at the full professor level. The PRC initiative has received substantial funding support to launch this major exciting new program. The successful physician-scientist candidate will preferably have
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DescriptionWe are seeking a motivated new PhD candidate or Postdoctoral fellow who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between
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collaborations and basic discoveries. The successful candidate will lead an internationally recognized breeding and genetics program to bridge fundamental and applied plant science with a focus on small grains