Daniel Kats
@dk4t5
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HOLY SHIT IT'S HAPPENING AI can now write genomes from scratch. Arc Institute an NVIDIA just published Evo-2, the largest AI model for biology, trained on 9.3 trillion DNA base pairs spanning the entire tree of life. it doesn’t just analyze genomes. it creates them 1/
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‼️Save the date‼️The new Max Planck #Postdoc Program kicks off its first call for applications from April 1, 2025; applications can be submitted until May 13, 2025. https://t.co/yWjsq8ld8A
#ScienceCareer
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Come be my colleague! We are recruiting an Assistant Prof in #compchem - broadly defined, all areas are welcome, the key requirement is excellence! Deadline February 2. #academicjobs @chemjobber
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PhD/PostDoc in Quantum Computing for Quantum. Have a look if you want to develop quantum computing approaches to enable accurate quantum chemistry: https://t.co/BHZthNiLVw Sharing and endorsing would be greatly appreciated <3 @CASUSscience @HZDR_Dresden @BMBF_Bund @QuantenTech
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New PhD opportunity in #CompChem at @UCLChemistry starting October 2025... If you're interested in developing new theoretical models for excited states, then we look forward to hearing from you. Please share widely... and Merry Christmas! https://t.co/12ecXHbk5j
findaphd.com
PhD Project - Novel Wavefunction Theory for Electronic Excitations at University College London, listed on FindAPhD.com
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Faculty position doing AI for materials discovery! Come join us at the @uoftmse @UofT
https://t.co/zT7m0LZK3U Plenty of exciting opportunities in the GTA and with @acceleration_c and @VectorInst in particular! Please share and retweet!
jobs.utoronto.ca
Assistant Professor - AI Materials Discovery
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We are hiring (resharing appreciated)! Given a few recent successful grant applications (I got my SNSF Starting Grant 🚀), we are extending the LIAC (@SchwallerGroup) team and have multiple openings (PhD/postdoc) for 2025. Are you interested in #AI4Science and machine learning
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📢Assistant Professor in Physical Chemistry vacancy here in the School of Chemistry TCD - Come join our team!📷All the details of the position and application process can be found here: https://t.co/0j8YzWMZ6U
#tcd #vacancy #chemjobs @tcddublin
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Come and work with us:
nature.com
Are you a passionate chemist eager to make a global impact through innovative research and teaching?
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Join us at @FU_Berlin as Post-Doc in molecular simulation of chemical reactions. Dive into rare events, machine-learned force fields & dynamical reweighting. 4 years, 100% TV-L. More details: https://t.co/giGzPwfU8Z
#CompChem #machinelearning #postdoc
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WE ARE HIRING!! 📢 The group led by @miquelsola offers a four-year contract as a PhD candidate to work on the design of novel pi-conjugated molecules with applications to solar cells and OLEDs. RT is appreciated.
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Some great opportunities here to join a vibrant, growing computational chemistry team in AstraZeneca Cambridge. Is AI the future of drug discovery? Time will tell, but there are exciting times ahead! https://t.co/Wlnqf3fdy0
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The deadline to apply for a PhD with us (and other institutes) is just 7⃣ days away! We're looking for highly motivated students holding a Master's degree in physics, chemistry, or materials science. Learn more at: https://t.co/GBZHAIVPIH
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📢Open PhD Position in Quantum Monte Carlo Methods! Are you familiar with QMC and interested in joining our research group? Check out the application details here: https://t.co/v1zijPnIBw
#compchem
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Please share/repost!!! We're still looking for someone outstanding with QM & simulation or #COMPCHEM background to join our AI & Automation team as a permanent scientist at @acceleration_c @UofT in order to learn and use #MachineLearning in collaboration with @VectorInst! DM me
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It was supposed to take 10,000 years to simulate Google's 2019 quantum supremacy experiment. These guys did it in 86.4 seconds (which is 7x faster than Google's 53 qubit Sycamore chip) and consumed only 13.7 kWh of electricity (just 3x as much). https://t.co/3W8ZJ67TDU
arxiv.org
Random quantum circuit sampling serves as a benchmark to demonstrate quantum computational advantage. Recent progress in classical algorithms, especially those based on tensor network methods, has...
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