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development with flexible working hours, the possibility of mobile work and many tailored training and development programs, and are equipped for this in the best possible, modern and comprehensive way. take up
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on the recently published DeepRVAT framework, which leverages advances in machine learning to learn an optimal rare variant aggregation function in a data-driven manner. You will have the opportunity to spend
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detail: Planning, supervision and implementation of innovative experiments with solid oxide cells, in both electrolysis and fuel cell mode Characterization of the repeating units during stack operation
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The landscape of mRNA 5′ cap modifications is more diverse and dynamic than previously appreciated. This project aims to develop and apply a novel chemo-enzymatic method to label and extend the 5′ cap, enabling
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Your Job: We are seeking highly motivated postdoctoral researchers to join these projects. If you are passionate about protein dynamics and design, protein function prediction, small molecule
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the change! We support you in your work with: Secure employment in a dynamic, international and multidisciplinary environment of scientists from different domains and software developers A creative environment
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 2 months ago
on nanostructured materials can be established, paving the way for the rational design of novel catalytic materials. Project: Probing the structure of advanced materials for electrocatalysis using synchrotron
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and function of matter, from the smallest particles of the universe to the building blocks of life. In this way, DESY contributes to solving the major questions and urgent challenges facing science
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you have strong interest in plant genomics and machine learning. if you have a strong scientific curiosity and motivation. if you are able to work autonomously and in a team. We offer you: a dynamic
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biodiversity in Earth system dynamics – to serve science and society” Senckenberg stands for curiosity-driven and application-oriented collections-based research. The Department of River Ecologyand Conservation