Kaggle’s COVID-19 Open Research Dataset Challenge

Allied Data Science Communities

Challenge, data and tasks walkthrough, Q&A by Levente Szabados
20/03 19:00-19:45 CET

This session is a place for data scientists to come together and get additional expert-insights about the recently published Kaggle competition. If you wanna make your small contribution to today’s complex situation that we all have faced or looking for a team or maybe want to learn data science or simply curious – then this is the place.

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VDSG Suspends Events

Dear All, as you may have heard, in efforts to control the spread of the Corona Virus, the Austrian government has prohibited indoor events of more than 100 people, and is discouraging unnecessary social gatherings. In order to protect our community, the VDSG has decided to follow the spirit of the law, and suspend its activities until the government ban is lifted.…

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VDSG Data Science Cafe Vol. XIV


Dear community, let’s meet in Sclable for our next Cafe in March!

Our next DS Cafe we visit Sclable, where we can get together and relax in a comfortable environment, and with great refreshments, courtesy of our hosts!
This is your chance to talk about some of the work-in-progress projects, to start your own idea and make it happen with the guidance and support of your Data Science network, to explore and decide if there is a project you want to collaborate on, or simply to get together and talk shop with other data scientists.…

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Job Opportunities from Wiener Linien

Wiener Linien has a plenty of opportunities,

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Researcher Data Science (m/f) (40 h)

The position is vacant in the Institute of IT Security Research.

Ihre Aufgaben

  • You independently work on a scientific research project in the field of data science
  • You work in a team but are also capable of taking the lead in parts of the project
  • You contribute to academic papers as co-author
  • You make project acquisition in the field of Data Science
  • You teach students in small groups and involve them in project work
  • You independently publish papers and hold lectures at international conferences

Ihre Qualifikation

  • Degree in computer science (at least master’s, ideally PhD)
  • Several years of relevant research experience and/or practical experience
  • Good programming skills (preferably Python, but not a must)
  • Knowledge in Machine Learning, Data Science and Deep Learning
  • Knowledge in R, Hadoop and Spark
  • Good English language proficiency
  • Keen on analysing problems and finding solutions; willingness and capability to dive into new research areas fast

Unser Angebot

  • Long-term employment (40 h) with numerous benefits such as flexible work time model (home office) etc.
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