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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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RF/microwave electronics, NMR, geological science, and rock core analysis are desirable. Special Instructions Please submit a CV that includes a list of publications and research experience. A separate
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the collection and analysis of child (preferably infant or toddler) data Strong written and oral communication skills Strong analysis and programming skills (preferably in R and/or python) Ability to work
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. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
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the collection and analysis of child (preferably infant or toddler) data Strong written and oral communication skills Strong analysis and programming skills (preferably in R and/or python) Ability to work
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(but strongly recommended) writing A brief comment/critique (a few sentences suffice) of work conducted by CAUSALab researchers. For example, you can tell us how an analysis could be improved, propose
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. This includes the development of novel applications of artificial intelligence, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral
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Applicants should have experience in a chemistry wet lab and ideally should have experience synthesizing catalysts such as metal oxide nanoparticles for electrochemical devices, as well as experience with
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technological breakthroughs to explore the biology of complex systems. Principal Responsibilities include 1.) Design and implement reusable bioinformatics analysis pipelines for processing RNA-seq, single-cell
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on understanding the earliest stages of high-grade serous ovarian cancer (HGSOC) by integrating spatial multi-omic profiling with computational analysis to define how precancerous lesions evolve into invasive