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of the research project “Unreal engines — Understanding language models through resource-optimal analysis: Implicit Bayesian pragmatic reasoning & emergent causal world models”. The project uses
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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dating, proteomics (ZooMS), stable isotope geochemistry, or ancient sedimentary DNA. Familiarity with zooarchaeology and faunal analysis is useful; experience with field or laboratory work is desirable
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, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics, untargeted metabolomics, or other biological high-throughput
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generation, sequence analysis, and data management Rapid Evaluation of newly emerging computational tools relevant for protein design Implementation and optimization of experimental workflows for rapid protein
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of non-viral gene transfer systems Production and validation of gene vectors in vitro Establishment of protocols for T-cell manipulation Independent planning, execution, and analysis of experiments
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analysis Experience with transcriptomic and/or epigenomic data analysis Strong communication skills and ability to work in interdisciplinary teams Fluency in English, both written and spoken We expect
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 2 months ago
on transposable elements and/or computational analysis of repetitive sequences Experience in experimental embryology Experience with microscopy and image analysis Experience with genomics datasets We offer Located
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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with
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per week) and is not appropriate for part-time work. The starting date is as soon as possible. The position is based in the Microbial Ecology and Diversity research group and focuses on the analysis and