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Field
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biology, machine learning, or structural bioinformatics Strong programming skills in Python and proficiency in Unix/Linux environments Demonstrated record of publications in peer-reviewed journals Excellent
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neuroscience, cognitive neuroscience, and/or developmental/experimental psychology. Familiarity with programming in Python, MATLAB, and/or C is essential. Job Description Primary Duties & Responsibilities
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further develop quantitative spatial analysis methods and Python-based workflows using the MuSpAn (Multiscale Spatial Analysis) framework, extend analyses to additional patient cohorts, and prepare findings
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the scientific, environmental and commercial objectives outlined in the project description. Conduct data post-processing and analysis using appropriate methodologies and software (e.g. MATLAB, Python) to (i
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for Immuno-Oncology and the Cancer Research UK Oxford Centre. They will apply and further develop quantitative spatial analysis methods and Python-based workflows using the MuSpAn (Multiscale Spatial Analysis
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independently and collaboratively; and analyze, interpret, and report experimental data. Build and refine data-analysis, automation, and closed-loop decision-making workflows using Python and related tools
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quantitative research and analyzing experimental, observational, or engineering data. Proficiency in at least one analytical or programming environment, such as Python, R, MATLAB, or equivalent software
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 21 hours ago
learning; strong programming skills in Python and at least one systems-level or real-time programming language such as C, C++, or C#; experience with modern deep-learning frameworks such as PyTorch
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cloud infrastructure. Qualifications ● PhD in machine learning, computer science, computational neuroscience, statistics, or a related discipline. ● Proficiency in Python and modern deep learning
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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
research (e.g., Python, TensorFlow, PyTorch). Record of publications in top-tier conferences or journals in bioinformatics, AI, or related fields. Strong problem-solving and analytical skills. Excellent