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plus RF and microwave engineering. Hands-on experience with software defined radios (SDRs) like USRPs is considered a plus Statistical signal processing Resource allocation and optimization
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of microbiology and laboratory automation. We are looking for a highly motivated PhD candidate with a strong engineering mindset and a keen interest in AI, automation and microbiology. Prior experience in
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its subsidiaries are one of the largest employers in the region. Our clinics and institutes stand for high-quality patient care, excellent research, modern teaching and transfer of innovative technology
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analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning
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Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). TUD Dresden University of Technology embodies a university culture that is characterized
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track records in innovation and technology translation, demonstrated by patent application or licensing. Exceptional collaboration and communication abilities with the ability to work effectively in
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. This development will be carried out in collaboration with the FHI-aims developer community. Applications of the method will be conducted in close cooperation with our experimental partners within the RTG2861-PCL
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projects Create project deliverables Your profile Master's degree in information systems, business informatics, business and management, computer science, software engineering, data science, or related
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degree with an academic level equivalent to a two-year master's degree. You should have a degree in chemistry or chemical engineering and a very strong background in experimental organic chemistry
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and statistical data analysis Excellent written and spoken English skills Experience with TMS and proficiency in relevant software (e.g., MATLAB, R, Python, or SPSS) is an advantage Key responsibilities