130 phd-scholarship-for-solid-mehanical-engineering-in-image-processing PhD positions at DAAD in Germany
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“DiamondNanoNMR” we are looking for ambitious PhD students (75%, TV-L E13, limited to 3 years). Our mission is to apply quantum information concepts to nanoscale sensing. This emerging technology stands
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: excellent, very good or good university degree (diploma, master's degree) in transport or related study programs with a solid basis in transport planning and/or data analytics Description of the PhD topic
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PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back to Overview Working LanguageGerman, English LocationHannover Application Deadline15 Aug
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at the University of Freiburg and the Karlsruhe Institute of Technology. Each doctoral position lasts 48 months and culminates in the award of a doctoral degree. The positions in Germany are part of a wider European
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Project (PhD Position) – Accelerated Materials Development by Combining High-Throughput and AI Approaches Your Job: The accelerated development of advanced materials is essential for addressing major
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PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back to Overview Next Working LanguageGerman, English LocationHannover Application Deadline15
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to contribute to sustainable development. To this end, scholarships are granted for development-related PhD studies for individuals who plan to pursue a career in teaching and / or research at a higher education
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Project (PhD Position) – Quantum-Classical Co-Simulation Framework Development for Neurobiological Systems Your Job: The overarching goal is to implement a code for multiscale quantum mechanics / molecular
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to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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- looking. Sensor technology plays a key role in this transformation, enabling real-time monitoring, automation, and intelligent decision-making. Despite these needs, many water treatment processes still rely