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with prehistoric artifacts. The tasks associated with the position advertised here include geomorphological mapping using remote sensing methods and verification through fieldwork. Fieldwork comprises
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The successful candidate will develop generative machine-learning methods for amorphous molecular thin films — the supramolecular structures that govern the performance of organic-electronic materials
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), including data cleaning and statistical analysis; familiarity with diagnostic/screening test evaluation methods (e.g., sensitivity, specificity, ROC analysis) and/or qualitative or mixed-methods design is an
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theoretical knowledge and background in molecular biology and related methods is required Knowledge in immunology and bioinformatic skills, as well as experience with high-throughput sequencing data generation
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). Quantitative analytical methods will include UPLC-MS/MS as well as mass spectrometry-based analysis of dipeptide-protein interactions, supported by rigorous statistical evaluation. The candidate will be working
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curiosity and enthusiasm for both new methods and ancient material Solid methodological foundations for conducting research on the project’s subject matter Proficiency in written and spoken English skills