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Field
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Lab focuses on cancer genomics for cancer prevention. The incumbent will perform cellular and molecular lab work for projects investigating genomic and epigenomic alterations linked to cancer mechanisms
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/Deep Learning: ML/DL model development (e.g., PyTorch, Lightning) for predicting antigenicity, genetic variation, and viral evolution. Genomics & Bioinformatics: Viral genome-based evolutionary analysis
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, protein expression and purification Sequencing-based assays (RNA-seq, single-cell genomics, or related methods) Analyzing genomics datasets in Python or R Prior experience with Class I or Class II tetramer
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) works at the intersection of molecular engineering, genomics, and computational biology, and develops precision medicine technologies, several already in clinical use, for infectious, immune, and
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animal models for hematopoiesis Experience in high-throughput data analysis, such as single cell RNA sequencing Knowledge in R and foundations of statistics Experience with CRISPR/Cas9 (or similar) genome
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, and virome dynamics in agricultural and forest ecosystems. The successful candidate will develop and apply molecular, genomic, and computational approaches to investigate virus epidemiology, emergence
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includes close collaboration with the Institute of Clinical Molecular Biology (IKMB) and the Competence Centre for Genomic Analysis (CCGA), providing access to cutting-edge genomics infrastructure and
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explores genetic causes of neurological disorders and aim to develop therapies for these conditions with a high complementary approach, ranging from stem cell modelling to functional genomic. Information
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Boehringer Ingelheim International GmbH | Biberach an der Ri, Baden W rttemberg | Germany | about 12 hours ago
, endocrinology, or related research areas. Experience with one or more relevant approaches, such as transcriptomics, proteomics, metabolomics, single-cell analysis, network biology, comparative genomics, biomarker
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microbiology studies, β-lactamase expression analyses, biofilm assays, whole-genome sequencing, and integration of microbiological and clinical data. The position offers unique opportunities to collaborate with