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technologies. Experience with imaging technologies and computational data analysis preferred. Strong publication record and evidence of research independence. Excellent communication, teamwork, and problem
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mechanical, thermal, and chemical properties; analyze data to inform design decisions. Failure Analysis: Root-cause investigation of material failures; recommend and validate corrective actions. Process
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of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of
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, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault
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with morphological image data is essential. Experience in geometric morphometrics and/or finite element analysis is desirable. Customer advert reference: B02-10342
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from an interstellar perspective; - Write analysis reports, process and interpret data; - Promote the work in scientific publications. Host laboratory: UMR8523 PhLAM (CNRS - University of Lille): Physics
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in screening informatics, biological data analysis, and drug discovery workflows to support the development and delivery of screening and pharmacology programmes within the ARUK UCL Drug Discovery
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internal institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences
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support multi-omics data analysis, including microbiome (16S, metagenomics, metatranscriptomics), bulk and single-cell/spatial transcriptomics, proteomics, metabolomics, and integration with clinical
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sequencing. Assist in the implementation of analytical pipelines for large-scale omics datasets, including next-generation sequencing and array-based datasets, with a primary focus on methylation data analysis