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    <title>Exjobb on eghed - shaping the future with AI</title>
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      <title>Master’s Thesis: Towards Reliable Automatic Fact-Checking of Swedish Political Debates</title>
      <link>https://eghed.se/exjobb/reliable-fact-checking-swedish-political-debates/</link>
      <pubDate>Wed, 30 Sep 2026 09:00:00 +0200</pubDate>
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      <description>With the fact-checking application Sanningskollen as a starting point, this project looks at how automated fact-checking of Swedish political discourse can be made more reliable – and what reliable even means in this context.</description>
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      <title>Master’s Thesis: Predicting Mobility from Cellular Network Data</title>
      <link>https://eghed.se/exjobb/predicting-mobility-cellular-data/</link>
      <pubDate>Thu, 24 Sep 2026 09:00:00 +0200</pubDate>
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      <description>How much can we learn about human mobility from sparse observations in a cellular network? eghed is looking for two master’s students from Chalmers University of Technology to work on a challenging applied research problem at the intersection of mathematical statistics, machine learning and large-scale data analysis.</description>
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      <title>Open Application</title>
      <link>https://eghed.se/exjobb/open-application/</link>
      <pubDate>Thu, 24 Sep 2026 09:00:00 +0200</pubDate>
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      <description>Have your own idea for a thesis within data, machine learning or AI? None of our current suggestions quite fit? Send us an open application and tell us what you would like to work on.</description>
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