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Field
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numerical modeling and validation of brain-inspired algorithms Develop circuit-plausible training and inference algorithms, and analyze their behavior in LTspice and Cadence Spectre Perform algorithm–circuit
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 22 hours ago
environment is provided to prepare students for the doctoral process and post-doctoral professional development through a compulsory curriculum of 30 ECTS. Doctoral students receive high quality supervision
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, which has a strong focus on developing and applying leading-edge data science approaches to study gene regulation in health and disease. Please find further information on the web site of the Gruber
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days of vacation KNOWLEDGE & DEVELOPMENT: Your professional development is important to us – we support you specifically and individually, e.g., through training and networking opportunities specifically
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for contraceptives. To this end, we bring together scientists from the University of Münster, University Hospital Münster, and the University of Hamburg. Our goal is to advance the development of innovative, non
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researchers work with distinguished scholars. Rigorous academic training, close supervision and institutional support, and the opportunity to develop professional skills prepare our PhD researchers for leading
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at DESY we are looking for a for a RESEARCH ASSOCIATE to conduct research within project CA Imaging as part of the BlueMat Cluster of Excellence.In the PhD project the candidate will develop X-ray photon
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, participate in scientific and professional skills courses, attend international conferences and receive career development support. The PhD programme’s teaching language is English. Full funding is provided
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to develop and investigate riverine matter transport within the scope of Earth System Modelling. The Cluster of Excellence "Climate, Climatic Change, and Society" (CLICCS) investigates climate dynamics and
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The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with, enhance or replace established methods