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Field
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Computational biology or Life Cycle Assesment Results-oriented and cooperative personality Background in computational biology,bioinformatics, life cycle assessment, hazard assessment or a related field Strong
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molecular biology, immunology, bioinformatics, multi-omics, and/or manipulation of genetically-modified mice Excellent communication and collaboration skills, with the ability to share knowledge, work
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a valid VISA to work in the US. A strong background in molecular biology, bioinformatics and systems biology analyses, as well as experience in flow and mass cytometry and other immunological
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(or equivalent) in any relevant field of Biology Molecular biology or bioinformatics skills Preferred Qualifications Ph.D. or M.D./Ph.D. in Neuroscience or Genomics Demonstrated ability to work independently and
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international collaborators. - Production of viruses and infection in an L3 containment laboratory - High-throughput sequencing and bioinformatics analysis - Microscopy (RNA and proteins) - CRISPR genetic
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animal experimentation (mice) Solid knowledge in bioinformatics Excellent command of written and spoken English Operational skills/expertise : Proficiency in standard protein biochemistry techniques
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, pharmacology, engineering, bioinformatics, or a related field. Preferred: Prior pharmacokinetic modeling or machine learning experience using software such as R, Python, MATLAB, GastroPlus, PK-Sim, Phoenix
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experience in molecular biology is required, especially in techniques such as DNA/RNA extraction, PCR and genomic analysis, as well as experience in data analysis using bioinformatics tools. Knowledge of next
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experimental microbiological and biogeochemical laboratory work. Generation and analyses (bioinformatic and statistical) of environment and microbiome data, including amplicon sequencing libraries, metagenomes
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of graduate students and early-career researchers in AI and multi-omics integration. Required Qualifications: Ph.D. in Bioinformatics, Computational Biology, Data Science, Artificial Intelligence, or a related