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Institute for Meteorology. YOUR PROFILE We are looking for a curiosity-driven and conceptually-minded candidate who enjoys scientific discussion and complex data analysis. To be considered for this position
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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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physics Comprehensive background in experimental low temperature physics Characterization of materials with respect to transport, thermodynamic and magnetic properties Analysis of experimental results
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projects in the department (i.e. restoration ecology, multiple stressor analyses, long-term ecological research) Development of VREs (BMD position) Data analysis, preparation of manuscripts and reports
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technology. Our pre-studies have shown that full automation is possible in principle when formally verifying systems using reachability analysis. However, our pre-studies also showed that further research is
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integrate large-scale sequence and RNA-seq data from internal and public resources. You build a reference library of predictive regulatory motifs. You use network analysis and random-forest approaches
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Institute for Meteorology. YOUR PROFILE We are looking for a curiosity-driven and conceptually-minded candidate who enjoys scientific discussion and complex data analysis. To be considered for this position
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | 2 months ago
, semimetals, superconductors) Carrying out photoemission experiments in synchrotron beamlines Maintenance of the in-house ARPES system Analysis and summarizing experimental results Presentation of experimental
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research, data science, cognitive science, or related disciplines who are eager to engage deeply in the Institute’s research activities in empirical education. We especially welcome applications from
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should have demonstrated in-dependent experience in designing and carrying-out ethnographic fieldwork, and in qualitative data analysis. - Experience with participatory design or participatory