112 fully-funded-phd-program-computer-science-eth PhD scholarships at DAAD in Germany
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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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the field of biotechnology, bio-/chemical engineering, (bio) process engineering, bioinformatics, biophysics or biomathematics. Ideally you have Programming skills and knowledge on machine learning and
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for a PhD position in Pharmaceutical/Medicinal Chemistry. Funding is supported by the German Research Foundation (DFG) for three years based on a photo-pharmacological project. The position is part time
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outstanding students from all over the world to apply for PhD positions in our renowned PhD program. Based in Hamburg, our program offers excellent training and top-level structured supervision in climate
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partnership with the German Federal Waterways Engineering and Research Institute (BAW); building a fully coupled model that simulates surface hydraulics and subsurface flow with relevant turbulence models and
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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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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
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Nagoya Institute of Technology, Japan, is planned. We strive for an open and inclusive research environment. The salary is according to German standard (E13 TL-V, 100%). All positions are fully funded
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for advancing novel resonator technologies. The position is fully funded. It can start immediately and will last for 3 years, with a possible extension. Remuneration is based on the collective agreement
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- looking. Sensor technology plays a key role in this transformation, enabling real-time monitoring, automation, and intelligent decision-making. Despite these needs, many water treatment processes still rely