29 software-defined-networking-"IMEC" Postdoctoral positions at Technical University of Munich in Germany
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models and neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio
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nanostructures and networks. These systems will have tunable chemical and photophysical properties for the translational development of platform technologies in the advanced materials sciences. This is a highly
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focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning
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scientists of the Futurelab offers an outstanding opportunity for networking and the development of followup projects. The position will be remunerated between W1 and W3 equivalent according to your
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(ML4Earth). AI methods, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University of Munich (TUM), together
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XRD, Raman, IR, TEM, XPS. • Experience (also for setup design) using CAD software (e.g., Solidwork), Python, MATLAB, or similar. The following papers are a good starting point to get familiar with
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relevance ▪ Software: experience working with MATLAB, C++, Python or similar ▪ Goal-oriented, independent and structured work style Our offer ▪ Current research topic in a challenging international working
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responsibilities: - implement, develop and extend methods for processing and analyzing single-cell RNAseq and protein profiles (CyTOF) - develop methods for second level analyses e.g. interaction networks
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sensors and apply them to novel applications. Technically, your work will involve the design and construction of optics and electronics, clean room fabrication and software development, as well as theory