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Field
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transcriptomics and single-cell RNA sequencing on patient samples • Mining and analyzing public cancer databases (TCGA, GEO, etc.) and omics data • Inferring TLS formation and maturation stages from
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explaining how the candidate’s profile aligns with the advertised DC position. Complete Curriculum Vitae (CV) with details of previous research and training experience, and contact information for references
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focus on synthetic biology, biochemistry and/or chemistry. • Practical experience in protein engineering (structural and sequence design), bacterial production (S1 lab conditions, E. coli), protein
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Gene expression modulation CRISPR/Cas9 (including knock-out, knock-in, CRISPRa, CRISPRi, viral vector systems) Next-generation sequencing (RNA-, ATAC-, ChIP-Seq, CUT&RUN, Hi-C and others) Pulldown and
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with the latest techniques / technical equipment single-cell sequencing, including CITE-seq and CloneTracer, advanced co-culture models Possibility of doctorate Possibility of habilitation Possibility
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current and future disease risk and burden across multiple pathogens with environment- and climate-sensitivity. Your tasks: Building a diverse set of models for short-term predictions and the long-term
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and molecular tools (e.g., 16S rRNA gene sequencing, metagenomics, and metatranscriptomics). These interdisciplinary studies will further reveal if surfactants from glyphosate application can have
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Limitation:Temporary (3 years) Contract:TV-L Your tasks Infertility affects millions worldwide, yet in many cases the genetic basis remains unknown. Instead of focusing solely on gene-by-gene sequencing, this project
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current and future disease risk and burden across multiple pathogens with environment- and climate-sensitivity. Your Tasks: Building a diverse set of models for short-term predictions and the long-term
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 8 days ago
Movement Study, we are closely collaborating with Assistant Professor Xucong Zhang (Delft University of Technology) to develop systems and algorithms that allow for eye gaze study through multiple camera