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? Our current research is based in India, Rwanda, and Uganda, but we are always seeking ways to learn about and work in new places! You can find out more about us here. About the PhD Researcher Position
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spectrometry. ProteomicsDB (https://www.proteomicsdb.org/) is an internationally well-reputed publicly available database that provides information about proteins and other bio-molecules initially centered
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Max Planck Institute for Heart and Lung Research • | Bad Nauheim, Hessen | Germany | about 21 hours ago
are usually held in March. Please visit our website for detailed information: https://www.imprs-mob.mpg.de/ . Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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tools for distributed models, and iii) robustness to data and model poisoning attacks. In this context, we are looking for a PhD Candidate who has a strong background in machine/deep learning to push our
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tools for distributed models, and iii) robustness to data and model poisoning attacks. In this context, we are looking for a PhD Candidate who has a strong background in machine/deep learning to push our
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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into consideration. Please submit your complete application by sending it to secai-office@tu-dresden.de , preferably via the TU Dresden SecureMail Portal https://securemail.tu-dresden.de . Application Deadline
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biological techniques (SSR, GC-EAD, EAG). •Experience in analytical chemistry (GC-FID, GC-MS). •Experience in or willingness to learn statistical data analyses, data processing and analytical chemical analyses
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subjects, high interdisciplinary desire to learn, and willingness to cooperate, openness for internationalization and diversity, very good verbal and written English communication skills (good command
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processing parameters. You will develop machine learning models to analyse experimental datasets and uncover structure-function relationships that determine membrane performance. By combining statistical