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Field
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· Strong skills in cell culture and/or C. elegans culture. · Proven success in publishing research papers. · Expertise in virology is a plus. · Expertise in bioinformatics is a plus. Special Instructions
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, immunoprecipitation and confocal microscopy. Experience with cancer organoid models and/or bioinformatics is an advantage. We offer broad training possibilities in the required experimental methods within a stimulating
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and present at scientific conferences Qualifications Basic Qualifications PhD in Computational Biology, Bioinformatics, Computer Science, Human Genetics, Toxicology, or related field (summer and fall
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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP
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include: · Ph.D. in life/biomedical sciences or related field required. · Proven research success and publications, preferably in genomics and bioinformatics. · Strong analytical and
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, or related approaches. Hands-on experience in high-throughput screening techniques for protein interactions and degradation pathways. Familiarity with computational tools for data analysis and bioinformatics
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and standing recognised by the University/profession as appropriate for the relevant discipline area (e.g., AI/Machine Learning, Bioinformatics). A proven track record of research and scholarly
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with high-performance computing clusters. Experience in using different libraries such as RDKIT, DeepChem, Scikit, and Numpy. Experience working in bioinformatics techniques including phylogenetics
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Strong organizational and time management skills Additional optional desired skills: Experience with translational cancer research and clinical trials Proficiency in bioinformatics and statistical analysis