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environmental sciences, agricultural economics, geography, sustainability science, or similar basic knowledge of statistics and data analysis experience with or willingness to learn agent-based modeling (Python
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About us: The University of Technology Nuremberg (UTN), founded in 2021, is a living laboratory for the university of the future – ready for the age of artificial intelligence and constant
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to coating processes and thin film analytics. This is an excellent opportunity for a student pursuing a degree in Computer Science, Engineering, or a related field to gain practical experience in software
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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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part of Helmholtz networks, e.g., HIRSE; https://www.helmholtz-hirse.de and internationally Your Profile: University degree (Master, Diploma) in natural sciences, computer science or engineering PhD in
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sequencing, RNA sequencing, mouse models, iPSC-derived organoids, and functional genomics approaches. The lab has strong collaboration partner in computational biology and bioinformatics, and the candidate
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., EuroCrops, FAOSTAT). Your qualifications: A completed Master’s degree in Agricultural Engineering, Environmental Science, or Geoinformatics. Sound expertise in remote sensing applications, big data
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, Computer Science or related fields (for PhD); Doctorate in Physics, Computer Science or related fields (for Post-Docs). The positions are funded via the Cluster of Excellence (Machine Learning for Science), the ERC
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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Max Planck Institute for Heart and Lung Research • | Bad Nauheim, Hessen | Germany | about 15 hours ago
of molecular, cellular and organ biology. Research is at the core of this doctoral programme. The thesis research will be carried out under the direct supervision of one member of the IMPRS faculty. Our IMPRS