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, and software development. You will enjoy being part of a world-renowned research institute and work closely with other students, PostDocs, software engineers, and faculty members on developing cutting
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Max Planck Institute for Demographic Research (MPIDR) / University of Helsinki | Germany / Finland | about 2 months ago
projects in the Center and to the MPIDR. We are seeking creative, self-driven, and collaborative scholars. Advanced knowledge of quantitative methods and statistical software such as R, Python, or Stata is
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interdisciplinary PhD projects in the Simulation and Data Lab Digital Bioeconomy. Each project combines natural sciences with computational and data-driven approaches, focusing on topics such as plant carbon
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Stig Brøndbo 22nd October 2025 Languages English English English Faculty of Science and Technology PhD Fellow in Knowledge-Driven Machine Learning Apply for this job See advertisement The position A
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computational and data-driven approaches, focusing on topics such as plant carbon transport, microbial systems, or circular bioprocesses. You will contribute to developing and applying novel modeling strategies
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The yearly gross salary for every PhD at the UL is EUR 41976 (full time). Where to apply Website https://www.aplitrak.com/?adid=UmVjcnVpdGluZy45MTM4My45OTA4QHVuaXZlcnNpdHlvZmx1… Requirements Research
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-renowned research institute and work closely with PhD students, PostDocs, software engineers and faculty members on developing cutting-edge AI ready data management. We’re working on extending and
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-renowned research institute and work closely with PhD students, PostDocs, software engineers and faculty members on developing cutting-edge AI ready data management. We’re working on extending and
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) ● Knowledge of Python (including Pandas and NumPy) ● Basic knowledge of software engineering principles (incl. SQL, GIT, Linux shell) EDUCATION & EXPERIENCE (REQUIRED): Two year college degree and two
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud