318 parallel-and-distributed-computing-phd Postdoctoral research jobs at Nature Careers
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St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in the Childhood Hematological Malignancies Training Program. This prestigious, NIH-sponsored T32 training program
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The laboratories of Dr. Jette Lengefeld (www.lengefeldlab.com ) and Dr. Nahid Khan are inviting applicants for two post-doctoral and two PhD student positions in stem cell, metabolism and aging
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working on related topics Participate in teaching and supervision activities, in line with the candidate's profile and interests The research activities will be hosted by the Parallel Computing and
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profile A PhD degree in Telecommunication Engineering, or Electrical Engineering or Computer Science/engineering with a focus on wireless communications Good understanding of the 3GPP 5G radio access and/or
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internationally visible research environment with access to cutting-edge technologies in immunology, (spatial) multi-omics, advanced imaging and computational biology. Our requirements Applicants should hold a PhD
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the early stages of postdoctoral training (within 1-2 years of PhD conferral). Applicants must hold a PhD, MD, DO, PharmD, DVM, or equivalent degree in a relevant field at the time of appointment. Applicants
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of metabolic pathways essential for biosynthesis and redox balance. We investigate how p53 integrates metabolic cues by functioning as both a sensor and regulator of cellular metabolism. In parallel, we seek
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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programme that is technique-agnostic, impact-driven, and unafraid to push boundaries. We welcome candidates with a PhD in a relevant discipline and a strong record of research excellence. Enthusiasm for cross
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redox balance. Our studies explore how p53 integrates metabolic cues by acting as both a sensor and regulator of cellular metabolism. In parallel, we are identifying metabolic changes that promote tumor