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Field
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-based statistical signal processing techniques and data-driven machine learning methods. The Signal Processing Division has access to excellent high-performance computing facilities, measurement equipment
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work together, in order to learn from one another and generate new knowledge and new methods to create a better quality of life in our world. DWI offers you a wide range of possibilities to develop
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Your Job: In this position, you will be an active part of our "Simulation and Data Lab Applied Machine Learning". Within national and European projects, you will drive the development of cutting
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are being developed that provide AI-supported tools to identify suitable sources and optimize utilization decisions throughout the product life cycle. Various machine learning approaches are to be used
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Master thesis in this field - very good knowledge of English (min. B2) - experience in machine optimization of experiments with cold atoms desirable - experience in programming and data
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application, please refer to myScience and reference JobID 211739. Where to apply Website https://www.myscience.de/jobs/id211739-research_assistant_on_a_part-time_basis_… Requirements Additional Information
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statistics training, especially methods of causal inference - excellent coding skills (preferably in R) or an interest to acquire such skills - fluency in scientific English (at least B2 or
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priority. > Learn more about "Diversity at UKE" here. Where to apply Website https://uke.jobs/index.php?ac=login&jobad_id=5771 Requirements Research FieldNeurosciences » NeurobiologyEducation LevelPhD
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to advancing machine learning in biomedicine. The Program focuses on developing and applying cutting-edge AI approaches to address key challenges in molecular biology, clinical research, and translational
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-time ( https://go.fzj.de/near-full-time ), allow you to customize your working hours. VACATION: You will receive 30 days of holiday plus free bridge days (e.g., between Christmas and New Year). FAIR