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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 24 hours ago
science databases. This data analysis may be performed using various programming languages such as, SAS, R, or Python. As part of this opportunity, you will be able to engage with a multi-disciplinary
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learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire
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collaboration with Japanese university partners for integrated macro- to micro-scale analysis. As part of understanding the ecosystem services that are involved in Singapore, the successful candidate will also be
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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data analysis and statistical skills · Excellent written communication · Ability to work independently and manage project timelines · Field research experience · Knowledge of building systems · Degree in
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Start date: 1 July 2026 or as soon as possible thereafter. Part time, fixed term: Two months at 0.5 FTE (but can be flexible between 1 month at 1FTE and 6 months 0.16 FTE) Applications are sought
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pipelines for genomic data analysis, and of programming languages such as R, Python, or Bash script is essential, as is experience of working with High Performance Computing. Time management skills
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enrichment (GO, KEGG), network analysis, genome assembly and binning, systems biology, and multi-omics integration. Apply statistical modelling, machine learning, and deep learning approaches for biomarker
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for the position(s) include: Contributions to the ePIC Silicon Vertex Tracker, through software and simulation work and/or hardware development Data analysis for the ALICE or sPHENIX experiments AI/ML research in
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research background. • Strong organisational skills. • Experience in qualitative research, including interviewing and data analysis. • Show proven ability to work effectively both independently and