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Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during
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ideas and work together towards answering the big questions of the future. You also appreciate the exchange between disciplines, cultures and generations? We are looking for a/an University Assistant
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; mechanism design and institutional design; cooperative AI and multi-agent systems; the study and development of large language models; cross-cultural psychology and large-scale behavioral data; philosophy
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for a research environment where scholars can utilize state-of-the-art Large Language Models (LLMs) to interrogate their data with open infrastructure, ensuring that the future of SSH research remains
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in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and
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and integrative (proteo-)omics expertise in the lab, guided by leading experts in terminomics, systems-level data analysis, and structural bioinformatics. Your profile A PhD in biology, biochemistry
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hold a PhD degree, or have obtained one at the expected start date, in data science, epidemiology, or a related discipline. International applicants are encouraged to apply for the position. Applicant
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and international research funding calls. REQUIRED PROFILE • PhD in Hydrology, Environmental Science, Remote Sensing, Data Science, Civil Engineering, or a related field. • Strong background in
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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Interaction with a design and data-oriented perspective. Experience in research in the domain of affective interaction design Background in large-scale data engineering Personal or professional experience