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focus on eye tracking Collaborating closely with partners from computer science (IAS-7, RWTH) Presenting your work at psychological and interdisciplinary conferences Publishing your findings in scientific
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founded research area of "Digital Technologies" with a focus on computer-aided high-throughput methods and AI-supported model development presentation of scientific results at international conferences and
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such as ecology, economy and social sciences. ZMT aims to use data science tools, including computer vision and deep learning, for the study of rapid changes in tropical coastal socioecological systems
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(www.stelloslab.com) is an internationally recognized research group at the forefront of RNA biology and cardiovascular science. We harness integrative computational and experimental strategies to unravel how RNA
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. The successful candidate will receive careful mentorship both from the supervisor and from other peers through a dedicated mentorship program. Technical queries should be directed to Benedikt Jahnel
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | about 4 hours ago
. Previous experience collecting behavioral data on primates or social animals in natural settings. Background knowledge on animal behavior and statistical analysis. Experience with the scripting program
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different models, test them and evaluate them with scores. What you bring to the table You are enrolled as a student in Computer Science, Engineering, Natural Sciences or a comparable degree program Basic
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developments, as well as conceptual guidance of cross-project software developments in the field of biodiversity informatics Strategic and content-related representation of the MfN in national and international
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tools? This research area sits at the intersection of Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Software Engineering (SE). The goal is to design and evaluate new interaction
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degree in (analytical) chemistry, biochemistry, or a related discipline Hands-on experience in mass spectrometry-based proteomics (e.g. DDA, DIA, PRM) Experience with proteomic data analysis Computer