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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
. Strong scientific programming skills, preferably in Python, and experience with modern software-development practices Experience in implementing machine-learning and deep-learning methods Excellent
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solutions into production environments, ensure they integrate seamlessly with existing software applications and infrastructure and monitoring the performance of AI systems and make adjustments to
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, Software Engineering, Computer Engineering, Surveying Engineering, or similar. In the research group “Navigation of Mobile Robots” we develop autonomous, mobile robots for a variety of outdoor
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electronics development and embedded systems. Three topics are available for a Bachelor’s or Master’s thesis: Topic 1: Adaptation of touch-display interface electronics and software Topic 2
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efficient simulation of complex industrial problems for the design and optimisation of technical processes and products. The exciting range of applications for our collaborative software development project
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Mathjobs.org | about 1 month ago
publications and, where relevant, links to software or code repositories. * A supporting statement explaining how the applicant meets the selection criteria. * A short research statement, no more than
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publications and, where relevant, links to software or code repositories. * A supporting statement explaining how the applicant meets the selection criteria. * A short research statement, no more than
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experiments needed to develop improved microbial production systems. The project will produce open-source machine learning models, software, and reproducible workflows, supporting the wider biotechnology
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Job Description We are looking for a skilled and curious electronics engineer with an interest in developing electronics and software solutions for various interesting research and development
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team of data scientists, software engineers, and experimental researchers on topics including: Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g