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Description In the research group Dependable and Autonomous Cyber-physical Systems (DACS) on Institute for Software and Systems Engineering (ISSE) at Clausthal University of Technology has
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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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-based metadata platform that you will help develop. In collaboration with stakeholders from energy research, you will develop methods to increase data and software interoperability, enabling the automated
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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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application to 2D framework materials. 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
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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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Description We are looking for people interested in joining the Software Lab as a PhD student. The Software Lab conducts research at the intersection of software engineering, programming
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applicant will be enrolled as a doctoral candidate at the Karlsruhe Institute of Technology (KIT) and will work on the above-mentioned topic. Personal qualification You have an excellent master’s degree in
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of transportation engineering, railway system engineering, civil engineering or related courses of study a working knowledge of industry-standard planning software a good command of German and English, both
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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