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Field
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to learn and team spirit Strong sense of responsibility, organisational skills, high reliability and flexibility Experience in single cell/nuclei or spatial transcriptomics are preferable, but not required
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goal-oriented approach to work Team spirit, flexibility, and reliability Very good written and spoken German and English skills Confident use of MS Office WE OFFER: Collaboration in a dedicated team of
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- Specialised education programmes in key capacity areas; AI-DAPT – 101135826 – AI-Ops Framework for Automated, Intelligent and Reliable Data/AI Pipelines Lifecycle with Humans-in-the-Loop and Coupling of Hybrid
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to the critical role that these systems play in ensuring reliable, safe, efficient and comfortable vertical transportation of people and goods, their inspection strategies, safety assessments, and certification
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automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability challenges in agentic reasoning systems. Where to apply Website https://www.findaphd.com/phds
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systematic approach structured and goal-oriented thinking capacity to familiarise yourself quickly with new topics creativity and openness to new approaches reliability, engagement, and a high level of
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of data. Ensure the validity & reliability of data at all times. Maintain accurate & complete records of all findings. Assist with the writing of reports to research sponsors. Present findings to colleagues
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materials. What you would be doing Main Duties: Process ceramics with aligned microstructures. Characterise the microstructure and residual stresses in the samples. Ensure the validity and reliability of data
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methods: The Met Office aims to help its customers stay safe and thrive by producing reliable weather and climate information. Numerical models of the climate system are an important tool to help achieve
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by developing AI methods that improve recognition of rare species while providing reliable measures of uncertainty. Using state-of-the-art computer vision approaches — vision transformers, self