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addition to debits, credits can be obtained. The research performed under this internship by an Electrical/Power Engineering or Computer Science PhD student will relate to this reform, specifically investigation
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Programme duration 6 semesters Beginning Only for doctoral programmes: any time Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No
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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | about 20 hours ago
the fact that PhD students have an academic background in (molecular) biology, (bio-)chemistry, (bio-)physics, mathematics, computational biology, computer science, epidemiology/public health studies, and
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outside academia. This PhD position focuses on the intersection of structural engineering, artificial intelligence, and computational design. The project aims to advance the autonomous generation
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(Enrolment open from mid-September) Supervisors: Dr Saptarsi Ghosh Prof David Ritchie Dr Dan Lamb Aligned programme of study: PhD in Electronic and Electrical Engineering OR PhD in Materials Engineering Mode
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in engineering, computer science, physics, or degree program with similar technical focus Experience with radar/microwave remote sensing data and instrumentation Knowledge of a scientific programming
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an international environment and is focused on animal biology. Outstanding and high impact research is conducted in broad fields, from genomics to ecosystems, nerve cells to behavior and evolution to conservation
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in a dedicated training plan For further information, please contact Prof. Marcus Völp at critix- Your profile Qualification: Master in Computer Science and/or Cybersecurity or equivalent degrees with
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Your Job: You will be part of our research team that applies high-throughput experimentation to accelerate research in the emerging field of electrocatalysis. The use of multiple-principal element
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple