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the lab’s research goals To be successful you will need: Completion of a PhD in biochemistry and epigenetics and/or equivalent professional experience Demonstrated ability to conduct independent research
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scientific partners Publication of results in form of scientific papers and presentations at international conferences About you: Scientific university education in Mathematics with PhD or similar Skills and
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possible date. Candidate’s profile: A PhD (or equivalent) in biology, immunology, microbiology, biochemistry, biotechnology, or a related discipline; candidates about to obtain their degree are welcome
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reputable journals and are motivated to perform high quality research and publish impactful papers are encouraged to apply. Candidates must have (or soon receive) a PhD degree in biology, chemical biology, or
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languages and in R is also required. • Application deadline: 1st August 2025 • Required experience: 2 - 8 years after PhD. • Duration of the contract: 36 months • Salary: Upon experience and according
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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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these issues. The center brings together experts on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University of Copenhagen, as
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of our Data Science strategic research program, we are looking for a Post Doctoral researcher with expertise in Knowledge Graph Engineering
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Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
). The Empirical research should capture and analyze teaching and learning processes, for example by video analysis or eye-tracking. Development activities for instance may include AI tools, the creation
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-driven insights, and process models). Main Responsibilities: Design and implement a model-based management infrastructure to support integration and harmonization of data and models in a heterogeneous