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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
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Description Wastewater treatment plants (WWTPs) are estimated to contribute 8 – 11% of the methane and 2.7% of the nitrous oxide global gas emissions. Methane and nitrous oxide are greenhouse gases (GHG) and are 27 and 273 times more potent than CO2, respectively (Intergovernmental Panel On...
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in near real-time. This includes exploring and advancing electrochemical sensor technologies. The PhD project will lay the foundation for the digital transformation of water infrastructure, enhancing
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the REACT Doctoral Network. In this context, we seek a highly motivated researcher with a proven track record in parallel programming models for CPS, high-level compilers, system and computer architecture and
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-RTG PhD student, you will be integrated into the International PhD Programme (IPP; https://www.imb.de/phd ), which is organized by IMB ( www.imb.de ). The IPP offers an exciting, interdisciplinary
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Description The International Research Training Group (IGK 2495) “Energy Conversion Systems: From Materials to Devices” at the Friedrich-Alexander-Universität Erlangen-Nürnberg offers 11 doctoral researcher positions for projects related to photo-electro-mechanical energy harvesting systems,...
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available in the further tabs (e.g. “Application requirements”). Objective the programme aims to foster strong, internationally oriented higher education systems in Latin America with the capacity
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international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities
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Description We are looking for people interested in joining the Software Lab as a PhD student. The Software Lab conducts research at the intersection of software engineering, programming
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and