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Stipend aims to initiate and deepen international collaboration concerning critical perspectives on colonial photographs. We hope to learn more about ethical and historical issues affecting the cataloguing
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knowledge in the field of machine learning, in particular deep neural networks Practical experience in the application of machine learning algorithms for both regression and classification problems Excellent
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the following fields: programming language (Python, C/C++), machine learning and deep learning methods (PyTorch, TensorFlow), knowledge management and databases, computational biochemistry or biophysics
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knowledge of common social media platforms and a deep understanding of their functionality/user behavior Experience in image and video production, also in graphic design Team-oriented, independent and
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innovative research on FIZ ISE research topics like ontological engineering, knowledge graphs, natural language processing, deep learning and large language models, with participation in scientific
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zoology, ecology, soil science or a related field Deep expertise in soil biodiversity research and expert knowledge of the ecology or systematics and integrative taxonomy of soil fauna, documented by
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zoology, ecology, soil science or a related field Deep expertise in soil biodiversity research and expert knowledge of the ecology or systematics and integrative taxonomy of soil fauna, documented by