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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 2 months ago
highly collaborative and curiosity-driven environment. Our research programs are interdisciplinary and span multiple scales of magnitude, from molecular assemblies to organelles, cells, tissues, organs
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pointcloud maps of the environment. In large environments, creating and managing those maps is a challenge that needs to be solved. To create a global representation of an environment of a robot, multiple
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for prototype methods to accommodate concept-based explanations Implementing and testing relevant evaluation metrics Empirical benchmarking of a selected concept extraction method across multiple datasets and
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at Christmas Eve and New Year's Eve Company pension plan and capital-forming benefits The research unit Marine Natural Products Chemistry offers a dynamic, international and innovative research environment with
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programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
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developing data-driven modelling strategies, the professor will derive rules governing biological robustness across multiple organizational levels and enable predictions for systems’ behavior under
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developing data-driven modelling strategies, the professor will derive rules governing biological robustness across multiple organizational levels and enable predictions for systems’ behavior under
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to study biological questions in multiple areas, including proteostasis/autophagy, targeted protein degradation (PROTACs), inflammation, cancer, infection and ageing. We have developed a range of proteomics
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or cognitive science or related Programming skills, particularly in Python (including interface integration) Experience with handling LLMs (e.g., GPT-4) and their API interface Basic knowledge in Natural
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databases (e.g. Scopus, Web of Science); Identify, screen, and select relevant academic and policy literature; Extract, code, and standardize data from selected studies; Manage and organize data from multiple