Raetschlab
@gxrlab
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New York City
Joined December 2013
Let’s fight the COVID-19 pandemic together! Please fill out this <1min survey https://t.co/V4qjWGe8Zh to help us track COVID-19 related symptoms in Switzerland. Don't forget to fill it out daily to better help us track the pandemic. #covid19surveyCH #covid19survey
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We established a new postdoc program between groups at ETH and Google Research Zurich and look for outstanding candidates to work on ML (gen. models, disentanglement/representation/cross-task learning, RL, theory of DL, systems for ML). Apply here:
refline.io
Improved recruiting processes ✓ Post job ads easily ✓ Integrated talent pool ✓ Time-saving & data protection-compliant ► Try it now for free!
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Development of early warning system of circulatory failure in ICUs w/ Bern University hospital data; externally validated on MIMIC data. Great collaborative work w/ @_hylandSL, Martin Faltys, members of @gxrlab & @AGKBorgwardt, @kmborgwardt & Tobias Merz.
arxiv.org
Intensive care clinicians are presented with large quantities of patient information and measurements from a multitude of monitoring systems. The limited ability of humans to process such complex...
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at #NeurIPS2018, looking for a #postdoc, and interested in #healthcare? the biomedical informatics group at ETH Zurich is hiring! send me a DM, or find me or my supervisor Gunnar Rätsch (@gxr) in Montreal this week! more info: https://t.co/8bkKHKrgyz
#ml4health #jobfairy
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Our work on analyzing splicing in cancer is finally out. Many tumors contain numerous neojunctions not found in normal samples and neojunctions can be confirmed by MS and form a class of potential neoantigens. @akkah21 @OliverStegle @OKohlbacher
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You want to work on exciting ML problems with real-world impact? I have an open ML postdoc position to work on foundational ML challenges, leading projects, & collaborating w/ other researchers in healthcare/genomics. Contact me to learn more; apply here:
refline.io
Improved recruiting processes ✓ Post job ads easily ✓ Integrated talent pool ✓ Time-saving & data protection-compliant ► Try it now for free!
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ETH Zurich is continues to strongly commit to new developments in medicine & technology. There is an open position for a professor in Medical Informatics in the Department of Computer Science. Happy answer questions about the position. Deadline April 30th.
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Personalized Health conference in June 2018 in Zurich organized by @NEXUS_PHT @health_2018
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New manuscript of ICGC PCAWG-3 is finally out. Great collaborative work on comprehensive characterization of RNA alterations in cancer w/ Angela Brooks, Alvis Brazma, @OliverStegle, @rfschwarz, @akkah21 @LaraUrban42 @JonathanGoeke @n_rose_d & more. #PCAWG
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I have an open postdoc position in cancer genomics (collaborative projects: a) cancer omics clinical trial w/ many/new data modalities together with hospitals and industry, b) collaboration with George Coukos lab on immunotherapy trials w/ RNA-seq & WGS).
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Recent work on using Boosting optimization techniques for variational inference was accepted at #AISTATS2018.
arxiv.org
Variational inference is a popular technique to approximate a possibly intractable Bayesian posterior with a more tractable one. Recently, boosting variational inference has been proposed as a new...
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Two new manuscripts w/ @akkah21 on compression of large annotations on genome graphs: loss-less & succinct (50x for 1000 bits): https://t.co/rLBuHe20ci and lossy & very small (1000x for 1000 bits):
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New #ICGC #PCAWG Manuscript on germline & somatic effects on gene expression and ASE. Great joint work with groups of Alvis Brazma, Zemin Zhang, @rfschwarz, @OliverStegle. "Assessing the Gene Regulatory Landscape in 1,188 Human Tumors",
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Lab member Natalie Davidson talks about integrative analysis of RNA and DNA alterations in ICGC/PCAWG samples #ismbeccb2017 #hitseq2017
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Group member André Kahles talks about large-scale dynamic labeled meta genome graphs #ismbeccb2017 #hitseq2017
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NumFOCUS adds Shogun Machine Learning Toolbox to Sponsored Projects https://t.co/Hyoowlf0RG via @numfocus @ShogunToolbox
numfocus.org
NumFOCUS is delighted to announce the addition of the Shogun Machine Learning Toolbox to our fiscally sponsored projects. Shogun’s mission is to make powerful machine learning tools available to...
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Slides from my talk at Human Variome meeting about recent https://t.co/9GcKad0lp0 developments: https://t.co/qX2BIW1XWP
#brca #ga4gh
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