141 programming-"the"-"DAAD"-"IMPRS-ML"-"Virginia-Tech"-"UCL"-"U"-"https:"-"Naturalis" "Fraunhofer Gesellschaft" positions
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environments with unknown terrain conditions, maintaining a consistent, global traversability map is essential. Such a map allows the robot to plan long-range, environment-aware routes and avoid obstacles
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software development (please provide a current transcript of records!) Creativity, self-motivation, and enthusiasm Very good programming skills, good knowledge of C/C++ and relevant toolchains such as
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of production processes. As a student assistant you support our team in programming user platforms, data processing frameworks and data analysis scripts. The job requires regular attendance at our institute in
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data-processing and visualization workflows using Python. Be part of change Data Handling & Software Skills: You are proficient in manipulating raw measurement data using software tools and programming
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program Ideally, experience in Python programming Advantageous: basic knowledge of magnetism and magnetic materials The ability to quickly familiarize yourself with new problems and enjoy taking
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statistical analysis for healthcare applications Professional programming experience (e.g. Python, C/C++, etc.) Hands-on experience with the development of software as a medical device and associated
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. The Fraunhofer-Gesellschaft attaches great importance to the professional equality of women and men. We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless
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, materials engineering or a comparable degree programme You enjoy experimental work You are characterised by a structured, independent and precise way of working Knowledge of surface analysis or laser material
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. This platform helps architects and planners create building designs faster and more efficiently by integrating generative design, automated floor plan creation, performance analysis, and seamless BIM integration
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construction is being developed. It enables architects and planners to implement building designs significantly faster and more efficiently by combining generative design, automated floor plan creation