Shopping around for a PostDoc? Our joint project with @tcddublin, @AdaptCentre and @johndkelleher will give you a chance to deep dive into Temporal #GraphML on clinical records and multi-omics data. Apply below ๐๐๐
https://t.co/gZePPCV3cu
Check out our Accenture Labs BioInnovation PhD internships below!
Recruiting on Question Answering for Multi-Omics Biodata. Language Models + Knowledge Graphs + Graph Machine Learning applied to life sciences, synthetic biology and precision medicine. Get in touch! ๐
๐ข Turing Internship Network (TIN) opens for applications on 5 Sept
TIN offers #PhD students 3-6 month paid placements with leading partners, tackling real-world challenges.
โณ๏ธ Learn more: https://t.co/Q0P0VjVove
โณ๏ธ Sign up for updates: https://t.co/4HRwAznt5d
#Internships
If you are in digital humanities, take a look at this 2y Trinity College/ADAPT Post Doc on Knowledge Graphs for Irish History. Work w/ Prof Declan O'Sullivan + historians + archivists on the Virtual Record Treasury of Ireland. Few weeks left to apply! https://t.co/CJIzzzWfNh
Oh boy, this just made my day: the *go-to paper* for Complex Logical Query Answering, ahem I mean "Neural Graph Databases" ๐๐. Much needed, really a fine piece of work by @ren_hongyu , @michaelcochez@michael_galkin@zhu_zhaocheng and @jure ๐๐๐
๐ฃIt is time to rethink graph databases in the era of GNNs and neural reasoners. In the new work with @michael_galkin , @michaelcochez , @zhu_zhaocheng , and @jure we explore the concept of Neural Graph Databases (NGDBs)!
๐https://t.co/8dhAmW1v04
๐https://t.co/pXzXH5Ff4I
๐งต1/n
Looooong time due AmpliGraph 2.0 major public release finally out! Full tf2 support, keras-style API and changes across the board. Great job pulling this together by @BernardiAlbert0, @adri_janik and of course @sumitppai
https://t.co/MXlYDep2Tv
An outstanding piece of work on biodegradable self-drilling seed carriers from CMU and Accenture Labs! well done to @Danli1uo @aditi_m1995@adanielescu and all @lining_yao's lab ๐๐๐
After 3+ years collaborating with @lining_yao's lab, we're delighted to share that our first project together, "E-seeds: Autonomous Self-burying Seed Carriers for Aerial Seeding" has been published in @Nature. https://t.co/jzbfk3IW5B. Photo Credit: Lining Yao.
We are looking for a Research Engineer to work on healthcare and life sciences prototypes in our new BioInnovation Dublin Labs team. Apply here! https://t.co/3NNQH8nm9P
Bioinformatician/Computational Biologist? Join our new BioInnovation Dublin Labs team to work on healthcare and life sciences research https://t.co/eLGFjPBL0V
Last year PhD students or early-stage researchers in computational biology and machine learning around at #FoG2023? Interested in AI/ML industrial research? Reach out to connect!
๐ฅKG Embedding Models are GNNs! ๐ฅ We found that their training dynamics can be described via message-passing operations, enabling us to define a new type of GNNs that achieves SOTA results on inductive and transductive link prediction tasks! #NeurIPS22 https://t.co/ZLmpMdvnFg ๐งต
If you would like to work with me during your PhD (or postdoc -- more on this later!), make sure to apply to the ILCC PhD or the NLP CDT program at the University of Edinburgh! Here is a list of research topics (https://t.co/L9bKzsSERn), and I'm happy to explore new directions!
If hands-on #GraphML is your thing and you are looking to grow in industrial research, check out our latest opening in sunny Dublin, Ireland๐
DM if interested or apply below
https://t.co/0Y4USvIhGQ
Here it is: the first Learning on Graphs Conference! ๐
We think this new venue will be valuable for the Graph/Geometric Machine Learning community.
What makes it so important+unique? See our blog post!
https://t.co/WPPbxxLjrE
1/6
Interpretable ML/XAI recent PhD graduate looking for openings? Say no more! Check out this 2y PostDoc opening with @adrian_weller, in partnership with @turinginst and Accenture Labs et al. Few days left to apply!
https://t.co/hcakKWbOwK
My paper: "Propagation on Multi-relational Graphs for Node Regression" accepted at the 10th International Workshop on Statistical Relational AI (StarAI)@ IJCLR 2021
https://t.co/DhWRtZfwEV
@hardmaru It'll be interesting to see if they've baked in some interpretability capabilities ("if you hadn't stayed that close to that truck on Aug 13, you would have saved 13$").