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Your Job: We are looking for a researcher to develop and apply machine learning models for genomic data in our lab. We focus on sequence analysis, genomics, semantics, and cross-domain data
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creating reference test cases for comparative evaluation of new methods and algorithms. We are seeking a Research Associate specializing in Machine Learning to contribute to the digital analysis and
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
Area of research: Scientific / postdoctoral posts Starting date: 01.07.2025 Job description: Postdoc (f/m/d): Machine Learning for Materials Modeling With cutting-edge research in the fields
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programming Python Excellent knowledge and experience in machine learning Experience with git is welcome Excellent ability for cooperative collaboration Very good communication skills in English Prior German
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on machine learning methods. The methods for this will be comprehensively further developed. You are interested in the design and training of neural networks and machine learning methods in general? We can
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, communication and mobility. The focus of this master's thesis is to develop a novel method that integrates Context-Specific Metabolic Coherence Analysis (CSMCA) with machine learning-based approaches to utilize
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Area of research: Studentische Hilfskräfte Job description: Student Assistant (f/m/x) - Machine Learning and Image Analysis 102739 Stud. Assistant 20 hrs./week Munich Partial Home Office possible
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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, a unique opportunity opens up for you: Explore the potential of machine learning and computer vision to revolutionize autonomous flight systems. In close collaboration with leading industry partners
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curing disease. We are currently seeking a highly motivated and experienced Machine Learning Scientist or engineer with experience or interest in biological data analysis to join our team. The successful