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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | about 2 months ago(Python, R, or equivalent). Experience with machine learning, multi-omics data analysis, cancer genomics, immunogenomics, or systems biology of transcriptional regulation is highly desirable. Subject 2
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Luxembourg Institute of Science and Technology (LIST) | Luxembourg, | Luxembourg | about 2 months ago
Proficiency in experimental design and statistical analysis Working knowledge of Python and/or AI/optimisation tools Language skills • Fluency in English, both oral and written. Other relevant
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correlated electron systems Proficiency with scripting or programmatic languages, such as Python, c, and matlab Excellent written and oral communication skills. Motivated self-starter with the ability to work
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, Python, R, or related platforms for neural and behavioral data analysis. Experience developing independent research questions and pursuing external funding. APPOINTMENT TERMS This is a full-time, grant
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, completed prior to the start date; Experience working with the scientific Python ecosystem (NumPy, SciPy, Matplotlib, etc.) and with databases (SQL, etc); Experience with collaborative version control systems
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software such as R, Stata, or Python is essential. You will be based in the Radcliffe Primary Care Building, Nuffield Department of Primary Care Health Sciences, Woodstock Road, Oxford, OX2 6GG as your
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sequencing, bulk RNA-seq, and single-nucleus RNA/ATAC using R, python, command line interface and high-performance computing clusters Thorough documentation and communication of experiments and findings with
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, or equivalent) conferred by the start date. 2. Proficiency in R/Python. 3. Experience with spatial proteomic/transcriptomic data analysis. 4. Growth mindset and motivation to advance our understanding of breast
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analysis (16S rRNA sequencing, QIIME2, DADA2, R/Python) and experience with rodent models of inflammation or dietary intervention studies. Applicants should be highly motivated and creative, have excellent
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large language models (LLMs), natural language processing (NLP), and/or machine learning, with a verifiable track record (e.g., publications, thesis, or open-source contributions). Proficiency in Python