75 parallel-and-distributed-computing-"https:" Fellowship positions at Nature Careers
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About us The UCL Laboratory for Molecular Cell Biology (LMCB, http:/www.ucl.ac.uk/lmcb) is an internationally renowned, multidisciplinary, molecular and cell biology department, located in the heart
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of Health (NIH) and the Department of Health and Human Services (DHHS). Within this program, the Section on Synapse Development Plasticity (Chief: Zheng Li, PhD, https://www.nimh.nih.gov/research/research
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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benefit from participation in the UT Southwestern Postdoctoral Training Program. Information on our postdoctoral training program, benefits and a virtual tour can be found at http://www.utsouthwestern.edu
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on the training program can be found at https://theoceanfloor.de/en/The-Ocean-Floor/ECR-support.html . Ocean Floor Fellows will have the opportunity to contribute to the tailored training program of the Cluster. It
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MSCA Postdoctoral Fellowships @Sorbonne Université and its Alliance partners - Call for Applications
or applied fields, you are invited to apply to this programme with our acclaimed researchers for an opportunity to work on and develop your ideas in an exceptional research environment with the 1st ranked
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, in vitro models, and large collections of well-annotated clinical specimens. We employ state-of-the-art computational biology/bioinformatics approaches to dissect acute and adaptive responses to RAS
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The Intramural Research Program (IRP), National Institute on Drug Abuse (NIDA), a research component of the National Institutes of Health (NIH), Department of Health and Human Services (DHHS) has
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(Institute for Research on Cancer and Aging, Nice); ISA (Institut Sophia Agrobiotech) and LP2M (Laboratoire de PhysioMédecine Moléculaire) as well as the Inria research institute for computer science and
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interests in applied statistics, machine learning, or computational biology are encouraged to apply. For more information, please visit our website https://ds.dfci.harvard.edu/postdocs to view the list