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Ruidong Xiang

@RXiang5

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Research Leader Computational Biology @DEECA_Vic @VicGovAg | visiting researcher @CamBakerSGI | @BakerResearchAu | @UniMelb | Views my own

Melbourne, Victoria
Joined October 2019
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@RXiang5
Ruidong Xiang
3 months
RT @nextgenbreeders: Thank you to everyone who joined us at UQ on Friday to celebrate the Official Launch of the ARC Training Centre in Pre…
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@RXiang5
Ruidong Xiang
5 months
RT @nextgenbreeders: We’re excited to launch a new Expression of Interest (EOI) form to allow you to apply for PhD studentship or postdocto…
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@RXiang5
Ruidong Xiang
6 months
RT @RXiang5: Join us in the Computational Biology team at Beautiful Melbourne, a leading research unit in statistical genetics and genomics…
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@RXiang5
Ruidong Xiang
6 months
Join us in the Computational Biology team at Beautiful Melbourne, a leading research unit in statistical genetics and genomics using big data to improve productivity and welfare of agricultural species. Apply if interested in analyses of super big datasets!
@DrKangabu
Tuan Nguyen
6 months
We have an open position! Research Scientist in Quantitative Genetics and Statistical Genomics at @VicGovAg State-of-the-art facilities, cutting edge research, hybrid working - what more could you ask for? 😉 Apply today! Deadline: 27/08/2024 👇
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@RXiang5
Ruidong Xiang
8 months
RT @RXiang5: The Computational Biology group at Agribio in beautiful Melbourne hosts several ARC Ph.D scholarships (via La Trobe University…
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@RXiang5
Ruidong Xiang
8 months
The Computational Biology group at Agribio in beautiful Melbourne hosts several ARC Ph.D scholarships (via La Trobe University); please EOI ( if excited abt applying state-of-art data sciences to enhancing breeding for productive and resilient animals!
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@nextgenbreeders
ARC Training Centre in Predictive Breeding
8 months
We have 40 PhD and postdoc opportunities to work on plant and animal breeding projects across 21 agriculturally important species, from strawberry to wheat to fish! Key research themes include: - Multi-omics to improve prediction - AI-guided breeding solutions - GxExM modelling approaches - Optimizing breeding program design Submit your expression of interest: #growingtalentforthefuture
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@RXiang5
Ruidong Xiang
8 months
RT @nextgenbreeders: We have 40 PhD and postdoc opportunities to work on plant and animal breeding projects across 21 agriculturally import…
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@RXiang5
Ruidong Xiang
8 months
RT @honglee0707: Check out our latest paper "R2ROC: an efficient method of comparing two or more correlated AUC from out-of-sample predicti…
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@RXiang5
Ruidong Xiang
8 months
RT @MehrnushForutan: I am delighted to share with you that our recent pape has been successfully published in Communication Biology and is…
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@RXiang5
Ruidong Xiang
9 months
RT @singh_msmanika: Excited to share our latest preprint which could be a game-changer for public health in regions struggling with TB. Don…
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@RXiang5
Ruidong Xiang
10 months
RT @JianZengR: Our SBayesRC method is now published in Nature Genetics! SBayesRC is a full Bayesian method for polygenic score prediction t…
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@RXiang5
Ruidong Xiang
10 months
RT @SashaGusevPosts: "our analysis also found multiple significant interactions between PGS and vPGS, suggesting that the non-additive and…
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@RXiang5
Ruidong Xiang
10 months
@minouye271 @SashaGusevPosts @VicGovAg Agreed and I think I did try but had some difficulties implementing likely due to LD and power. So for this case we reported the overlap
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@RXiang5
Ruidong Xiang
10 months
RT @mcewanjc: Sheep genetics rapidly adopts new technology. Now well ahead of the cattle industry 😉
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@RXiang5
Ruidong Xiang
1 year
RT @Quan_Nguyen_UQ: Delighted to share our perspectives published in Nature Genetics regarding spatial neighborhood analysis and the role o…
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