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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 29 days ago
neuroscience Strong analytical and critical thinking skills A willingness to learn new techniques, including advanced experimental methods and computer programming Excellent verbal and written communication
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. The research focus of the professorship is on aspects of high dimensionality using geometric and probabilistic methods, with applications in, e.g., data science, machine learning or quantum computing. Proven
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(natural language processing) and machine learning methods. We are looking for very good graduates of Master's programs with a strong interest in topics of accounting or auditing who would like to dedicate
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presentation using common computer programs Ideally, strong communication skills in both German and English You are enthusiastic about learning new practical skills, approach unfamiliar topics with curiosity and
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students who would like to write their final thesis in the field of machine learning / computer vision. The primary goal of this master’s thesis is to develop an algorithm that can accurately and efficiently
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areas such as astrophysics, data science, machine learning and high-performance computing scientific leadership and project management of a research group (at least 5 research associates), including
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of research focus include machine learning/learning analytics, multimodal assessment, adaptive learning in online settings, and the role of self-regulation in learning with AI. Close networking with
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: machine learning, data analysis, energy technology Experience with common deep learning and data analysis frameworks (e.g., PyTorch, Numpy, Pandas, sklearn, etc.) Independent, structured, and reliable way
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exploration to extract meaningful business insights. Provide analytical support to business teams, guiding strategic and operational decisions. Perform econometric analysis and machine learning tests. Draft
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team and actively participate in the DIPONI project (“Digital Transformation in Polymer Processing: Interoperability and Machine Learning Solutions for Process Optimization and Sustainability