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Dr. Farhad Merchant’s Research Group working on Innovative Computer Architectures and Hardware Security, and will be supervised by Dr Farhad Merchant. The candidate will be part of the CogniGron center
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Organisation Job description We are seeking a candidate for a PhD project on the philosophical aspects of data science and data science use, with specific attention for the use of data science
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at uncovering how the capacity for Darwinian evolution may have first arisen. While parts of this puzzle have been solved, an important open question is the emergence of information transfer (inheritance), one
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
how the capacity for Darwinian evolution may have first arisen. While parts of this puzzle have been solved, an important open question is the emergence of information transfer (inheritance), one
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results, further research is guided by trial and error with the goal of deriving intuitive trends. Data-driven approaches are attractive alternatives. Descriptors are used to characterize the molecular
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Computational Linguistics, Argumentation Theory, and Social Network Analysis to (1) investigate how climate misinformation contributes to political polarization and (2) assess whether AI-generated, argumentative
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ethnographic and creative methods, combining scholarly analysis with field-based, artistic, or community-engaged approaches. The position offers space to develop your own trajectory, while contributing to a
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affiliated with the Rudolph Agricola School for Sustainable Development, focuses on innovative approaches to data analysis and science communication. A PhD student at BirdEyes will gain expertise in cutting
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. Proficiency in geospatial, 3D, and image-processing software for data collection and analysis. Experience working with GIS, QField, total stations, geophysical equipment, and drones. Experience in stratigraphic
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. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more