1,558 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions in Germany
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understanding basic mechanisms governing gene expression to unraveling genetic aberrations triggering rare diseases and cancer. More at https://www.cs.cit.tum.de/cmm/home/. The project EPIC is a 10-million Euro
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. Application deadline No application deadline Submit application to Please contact the respective research group directly. https://www.uni-bremen.de/en/pip/faculty-1/institutes In case of questions, please e
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with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team orientation Excellent spoken and
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of Excellence CMFI Cluster of Excellence GreenRobust Cluster of Excellence HUMAN ORIGINS Cluster of Excellence iFIT Cluster of Excellence Machine Learning Cluster of Excellence TERRA CIN LEAD Graduate School
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information retrieval, data integration, machine learning/AI, LLMs, knowledge graphs excited to use vector databases, e.g. integrating deepset haystack for RAG interested in experimenting with solr, postgres
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https://www.chemie.uni-bonn.de/de/forschung/bigschemistry for further details). International elements Projects with partners in Germany and abroad Special promotion / funding of the programme DFG (e.g
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qualified women. About the position The position contains both teaching duties and participation in research projects. The research project topics focus on improving object recognition through computer vision
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) analysis • Research, development and implementation of deep-learning approaches • Network architecture search • Real-time image analysis • Establishing multi modal (video, thermography, acoustic, RFID
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
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of machine learning approaches. Defining standards and databases for experimental protocols and biosystem designs will be of critical importance for the establishment of the Munich Repository of Standardized