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underlying system Addressing process specific nonlinearities and system-theoretic properties to develop novel control and machine learning algorithms for edge computing Active collaboration with our industrial
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, multi-objective optimisation (e.g., genetic algorithms), gait analysis/biomechanics. Proven track record in deploying machine learning models into production (preferred) Proficiency in programming in
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affiliated with the Department of Environmental Sciences (D-USYS). The candidate will perform the research at Empa in St. Gallen. The starting date is upon mutual Agreement. This project is performed in close
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generation of enhancement algorithms tailored for endoscopic videos, with a focus on applications in real-time interventions. Development efforts will prioritize both enhancement quality and computational
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the Department of Environmental Sciences (D-USYS). The candidate will perform the research at Empa in St. Gallen. The starting date is upon mutual Agreement. This project is performed in close collaboration with
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excellent opportunities to establish connections in the local industry. The work will be carried out at Empa St. Gallen under supervision by Dr. Gordon Herwig and Prof. René Rossi. The position is temporary
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scientific questions or develop algorithms that perform automatically some challenging tasks. This typically involves exchanging actively with collaborators and domain experts to understand the precise
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natural language processing to algorithmically detect hate speech across a variety of online venues (newspaper and social media). To do so, we need an up-to-date, high-quality corpus of training data. Job
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international network The Postdoctoral position is for the duration of two years. It is based at Empa, St. Gallen, and it is available from November 2025, or upon mutual agreement. The researcher will be
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systems. Your work will help to define the quality and features of our algorithms. Armed with your innovative spirit and project experience, you will manifest fresh ideas and novel approaches