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data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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at European XFEL enable scientists from across the globe to carry out a wide range of experimental techniques. For our Data Analysis group we are looking for a PhD Student (f/m/d) for development of strategies
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Currently enrolled in Bioinformatics, Data Science, Computer Science, Computational Biology, Statistics, or a related field Interest in microbiome research, ecological data analysis, and machine learning Good
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, or molecular self-assembly. Programming and data analysis skills (e.g., MATLAB, Python, C++, or similar). Good verbal and written communication skills in English. WHAT WE OFFER We are offering a 1-year
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well as risk perception, environmental transition, and climate change. Where to apply Website http://www.uniba.it Requirements Additional Information Eligibility criteria Eligible destination country/ies
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and harmonize user-friendly, standardized data analysis pipelines for a variety of computational tasks, including, but not limited to, mutation calling, bulk and single-cell RNA-seq analysis, ChIP-seq
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-throughput screening workflows and preparing samples for metabolomic analysis. Skills in quantitative image analysis, data processing pipelines, and introductory computational modelling. Competence in
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studies to support institutional planning and decision-making. The position will transform data into information through analysis and effective, tailored reporting to assist leadership in making strategic
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: 88414BR Under direct supervision, acquires skills and knowledge of professional concepts in research data analysis. Works on small projects or segments of projects with limited scope and complexity
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specific expertise in the processing and analysis of high-throughput genomic sequencing data, and in collaboration with both wet and dry lab biologists, the BRC aims to support and accelerate the diverse and