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MSCA Postdoctoral Fellowships @Sorbonne Université and its Alliance partners - Call for Applications
, Inserm, Inria, IRD, Muséum National d’Histoire Naturelle, Cnam and Université de Technologie de Compiègne). If you are a young research with high potential and ambition to advance research in fundamental
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INFORMATION https://faculty.mdanderson.org/profiles/ferdinandos_skoulidis.html POSITION INFORMATION MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts
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-dimensional visual stimuli (https://doi.org/10.1101/2024.09.27.615442), and how the inputs onto single depth-selective neurons give rise to their response properties. To accomplish this, this project, which you
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development and to join a vibrant research community at the forefront of aging and longevity research. Additional information about the Department of Genetics is available at https://www.einsteinmed.edu
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to identify coding and regulatory risk factors for early-onset, aggressive, and/or hereditary cancers The successful candidate will lead projects from conceptualization through publication, including
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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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collaborators) and guide PhD students in their research. The ability to work in a team is essential. More information https://www.mdanderson.org/research/departments-labs-institutes/labs/van-loo-laboratory.html
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spatial transcriptomics to identify potential therapeutics for targeting GBM. For more details, please refer to articles: (Nature communications 2022, https://doi.org/10.1038/s41467-022-33943-0, Cell
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and expanding team. You’ll play a key role in our success through your code, publications, and strategic promotion of our work. * PhD in Computer Science, Biomedical Informatics, Machine Learning