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pointcloud maps of the environment. In large environments, creating and managing those maps is a challenge that needs to be solved. To create a global representation of an environment of a robot, multiple
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field, preferably with a PhD You have experience in independently setting up experiments or measuring instruments You have experience with ultra-low temperatures (mK to a few K) using dry and wet
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. Because of the specific structure of the inference problems occurring in metabolic models, direct application of these MCMC algorithms is, however, not possible. In this project, you will bring MCMC methods
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for prototype methods to accommodate concept-based explanations Implementing and testing relevant evaluation metrics Empirical benchmarking of a selected concept extraction method across multiple datasets and
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PhD, the beginning of your scientific career as a junior scientist at Fraunhofer IPMS or becoming an engineer. We support you in this process! Fraunhofer IPMS has been developing IP cores as
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their reliability and resource efficiency during production and operation. The »KI-unterstütze Simulation« team combines physically based simulation approaches with efficient and advanced mathematical algorithms and
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addition to your work on the trials, you will be part of the academic research lab and assist basic research, including the guidance of PhD student projects. What you bring to the table A PhD in the field of biology
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, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a sustainable
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at the Fraunhofer IZI, you will work closely with your team that consists of 2 PhD students, 1 technician and other Masters students and have contact with other research groups and interactions with
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to 2 years. The position is embedded in the MDC International Graduate School an umbrella structure providing services to all PhD students and MDC’s scientific community and will be located in Berlin