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-of-the-art computational infrastructure and proteomic data to address fundamental biological questions. Key Responsibilities: Develop and apply computational workflows to analyze large-scale proteomic datasets
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of molecular, histopathological and clinical data in the world. We are seeking a highly motivated Postdoctoral Researcher with expertise in large-scale omics data analysis to establish an innovative multi-omics
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. The position is part of the project “Understanding of, and Explanations with, Large Language Models”, which is funded by the Volkswagen Stiftung and associated with the Cluster of Excellence “Machine Learning
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working with ocean or earth system models, or similar models A background in analyzing large data sets and visualizing data using Python, MATLAB, or equivalent very good writing, presentation, and
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, economics, business informatics, data science, or a related field, • with a strong passion for entrepreneurship and/or family enterprise research, • with a solid knowledge of empirical research methods
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 1 month ago
for their interest; however, only those individuals selected for an interview will be contacted. For more information, please contact: Dr. William Windsor (windsor@fhi.mpg.de ) Fritz-Haber-Institut der Max-Planck
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-sampling data. Furthermore, the position holder will play a central role in creating high-quality training datasets (seagrass maps) to support artificial intelligence (AI) algorithms used in related projects
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to analyze large-scale proteomic datasets. Implement machine learning models to predict phenotypic outcomes from proteomic and related omics data. Collaborate closely with experimental and computational
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responsibilities are organized around three key pillars of research in the digital world: Cognitive modeling: Applying state-of-the art cognitive modeling approaches to decision making data from online news
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at both large and small scales. The scientific evidence-based knowledge developed in ISOLUME will be used to develop a roadmap for implementing changing marine lightscapes as an indicator in management