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The Fraunhofer Institute for Algorithms and Scientific Computing SCAI in Sankt Augustin, near Bonn, has around 180 employees who research and develop innovative methods in the field of computational
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service. Job Responsibilities: Independently perform basic and advanced level statistical analysis, algorithm implementation, programming from a variety of biotechnology platforms, and oversee quality check
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About the Role The position is funded through the EPSRC project “Zeros, Algorithms, and Correlation for graph polynomials”. We study various combinatorially defined polynomials such as the
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accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large
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in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Overview: As a Senior Machine Learning Engineer, you will specialize in engineering
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next-generation intelligent systems that are both scalable and explainable. This role bridges algorithmic research and systems implementation, offering opportunities to collaborate with leading academics
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that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase retrieval in the weak holographic regime
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. Therefore, we need an imaging scheme that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase
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analogue field tests; mathematical modelling and simulations; research and integration of novel sensors for robot perception; algorithmic design and computer programming implementation of building blocks
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Project link: Next-Generation Farrington Model for Infection Prevention and Control: An Enhanced Farrington Algorithm with Spatiotemporal and Adaptive Baseline Capa | Project Opportunities | PhD