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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
. The candidate will utilize Python and R to execute rigorous quality control pipelines that eliminate artifacts, doublets, and low-quality cells while preserving rare populations. The researcher will perform
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, including state-level health and social service data. • Strong quantitative analytic skills and experience using R, STATA, SAS, Python, or similar analytic software. • Experience with data linkage, data
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analysis software or programming language (R, Python, Stata). Experience in comparative analysis. Ability to integrate into a project-related work team Ability to interact with academic stakeholders in
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mitigation approaches Familiarity with various mitigation regulations and guidelines Familiarity with computational tools such as Python You should also have good interpersonal and communication skills and
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circuit verification. Additionally, you will design and implement prototypes (using C++, Python, and MATLAB) and contribute to open-source tooling where applicable. Support for teaching at Technical
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, watermarking, source tracing, and generative AI. Good programming skills, preferably including Python and modern machine learning tools. Basic knowledge of deep learning, signal processing, speech/audio
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including Python and deep learning frameworks. Interest in one or more of the following areas: speech synthesis, music generation, neural audio codecs, diffusion models, audio language models, watermarking
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level of independence Experience in the management of research, scientific, or academic projects Experience in writing research code in collaborative settings using languages such as R and Python Ability
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sequencing data (e.g., Python, R, or bioinformatics pipelines). Strong record of productivity as evidenced by peer-reviewed publications or preprints. Ability to work both independently and collaboratively in
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in Python and working with machine-learning frameworks and libraries, e.g., PyTorch, TensorFlow, Hugging Face Strong conceptual understanding of clinical and biomedical research, data standards, and