75 computational "https:" "https:" "https:" "Tilburg University" Fellowship positions at Nature Careers
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cancer, we have developed a comprehensive pipeline going from molecular genetics to the clinic. The Brugarolas lab is also the hub of the Kidney Cancer Program (https://kcp.utsw.edu/ ), one of two
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applicants are encouraged to speak to LMB Group Leaders with whom they are interested to work with in advance of applying to help ensure a strong scientific alignment with the LMB’s scientific programme. In
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We are seeking a highly motivated and skilled Postdoctoral Fellow to lead this innovative research program at the interface of proteostasis and transplantation biology. The successful candidate will
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We have an exciting research opportunity for a Research Assistant / Associate tojoin our team. The post holder will be based at the Cancer Research UK-Scotland Institute (CRUK-SI) in Glasgow https
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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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The Jiang Lab (https://labs.icahn.mssm.edu/jianglab/) at the Icahn School of Medicine at Mount Sinai, New York is seeking a highly motivated postdoctoral fellow with expertise in genome editing
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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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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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, 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