Akanksha Ahuja

@Akanksha_Ahuja9

Research Software Engineer | Project Associate , | Former Technical Student at AWAKE

Geneva, Switzerland
Vrijeme pridruživanja: ožujak 2017.

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  1. Prikvačeni tweet
    25. lis 2017.

    If you missed my speech at the UN Day, watch this Reach out to me on akanksha.ahuja99@gmail.com

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  2. prije 8 sati
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  3. proslijedio/la je Tweet
    3. velj

    Put another way - the best way to get a job doing X is to *start* doing it *now* for free! It shows that you're *actually* that interested, while simultaneously proving that your *actually* competent. The easiest person for me to hire is someone who is already doing the job.

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  4. proslijedio/la je Tweet
    3. velj

    Q: "How do I get a job doing <X> at <tech company>?" When hiring, I look for 2 things: - are you already motivated by my problems? - are you capable of solving my problems? Strategy: make a Blog/Github showing how to solve my problems!!! It proves both motivation & ability!

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  5. proslijedio/la je Tweet

    Another coverage of our "etalumis" work about probabilistic programming, LHC physics, and supercomputing, presented in November at SC19 😃

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  6. proslijedio/la je Tweet

    Could up to $25,000 USD help you complete your dissertation? Show us the impact of your research and you could receive funding from a North American Dissertation Grant for academic year 2020–21 to complete your doctoral thesis work:

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  7. proslijedio/la je Tweet

    Tomorrow is the last day to apply to be a 2020 CIFAR Global Scholar. Join a unique network of outstanding researchers addressing science and humanity's most important questions.

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  8. proslijedio/la je Tweet
    prije 17 sati

    Did you know that CERN is developing technologies for a new generation of cancer-therapy centres? Find out more about CERN's medical applications

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  9. proslijedio/la je Tweet
    3. velj

    Help revolutionize the world with full self-driving by joining us at Tesla Autopilot: It is very hard to find other places where AI expertise makes as much of a difference on as big of a problem.

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  10. Always take a look at your data, visualise samples, understand it on a smaller scale. 💯 Use any visualisation tool, whichever you want. 📚 Scaling up comes second. Progress on samples boosts both confidence and creativity and will help you design your big picture.

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  11. proslijedio/la je Tweet

    Nice little rainbow this morning

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  12. proslijedio/la je Tweet
    30. sij

    Not everyone learns in the same way. Some people prefer YT tutorials. Others learn only via online courses. Some learn first and then do. Some learn by doing. There isn’t a best way. There isn’t a wrong way. If it works for you go for it.

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  13. 3. velj

    The Missing Semester of Your CS Education ⁦⁩ Shell Shell Tools and Scripting Editors (Vim) Data Wrangling Command-line Environment Version Control (Git) Debugging and Profiling Metaprogramming Security and Cryptography

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  14. 3. velj

    Mastering the art of prioritisation | Nature Index The project-management triangle measures three key constraints that researchers should consider: - ambition - time - energy "We need to be making clever choices on tricky trade-offs," says Pederson.

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  15. 3. velj
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  16. proslijedio/la je Tweet
    3. velj

    Given that data loading can be a major bottleneck in many DL projects, this sounds like an interesting project to check out: "Accelerating Pytorch with Nvidia DALI" --> "on small models it's ~4X faster than the Pytorch dataloader"

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  17. proslijedio/la je Tweet
    3. velj

    and the second thing that I learn this

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  18. proslijedio/la je Tweet
    29. sij

    Good hyperparameters lead to ML success! 🙌 Learn how you can find the best parameters with Keras Tuner— a fully-featured, scalable, and easy-to-use hyperparameter tuning library for Keras and beyond. Read the blog →

    hyperparameters with keras tuner
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  19. 3. velj

    Why does CMS need an upgrade? > more collisions > more data > upgrade electronics and sensors > update data and development operation strategy > faster simulations By Frank Hartmann

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  20. 3. velj

    : for the coming phases at as the integrated luminosity will keep increasing over the years, faster and efficient computer architectures will be required for reconstruction/tracking/trigger. A heterogeneous future for CMS by Andrea Bocci

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  21. 3. velj

    Physics Analysis: As a physicist, you can send your analysis to be computed at any site ex: KIT Germany, France, RAL UK, JINR Russia, PIC Spain, CNAF Italy and USA( T1 CMS sites). These sites provide the computational resources & storage for .

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