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artificial intelligence methods. PhD Position – Hydrogen corrosion assessment combining experimental and AI approaches Reference code: 50141225_2 – 2025/MO 2 Commencement date: as soon as possible Work
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strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration
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electrochemical devices, by employing advanced experimental and theoretical methods in an interdisciplinary approach bridging synthetic chemistry, condensed-matter physics, and materials science. Our research
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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expect The ability to work independently and on your own initiative, a methodical and systematic approach, structured and goal-oriented thinking, capacity to familiarise yourself quickly with new topics
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and next generation sequencing data. Graphical output of data analysis for publication demonstrated experience in statistical analysis and designing computational methods and tools, including prior
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and the Brazilian Amazon. The successful candidate will work on the ClimateConnect project, a key component of the HICSS ClimateBridge cluster, which aims to generate practical climate solutions
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microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights into these complex interactions. As part of this position, you will have the
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education Experience with eye-tracking methodology, programming skills (R/Python), and empirical research methods would be beneficialwe value intellectual curiosity and the willingness to develop new skills
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strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration