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, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large
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. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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assays, immune‑cell trafficking, and spatially resolved tumor–immune crosstalk. Lead image and data analysis, including programming in Python and experience with ImageJ/Fiji, to process microscopy data and
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, statistics, and programming languages such as R, Matlab, or Python are highly desirable. Requirements: Candidates should have completed (or be completing) a doctoral degree in psychology or cognitive science
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such as Python, R, MATLAB, or similar - Strong attention to detail and written communication skills - Proficiency with Microsoft Excel, Word, and PowerPoint - Attention to Detail - Self-motivated with
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. Responsibilities Analysis of activations maps in mouse brains, primarily using R free-source library. Develop computer codes, primarily using ImageJ and Python, to implement algorithms for characterizing brain maps
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to therapeutic discovery You bring PhD in computational biology, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s
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Sub-Saharan Africa and conducting epidemiological research on pediatric cancer disparities for patients treated in the US. The Postdoctoral Associate will use R or Python to maintain data pipelines
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and programming skills, namely in the use of MATLAB and Python. Candidates who do not meet these requirements will be excluded. Additional optional skills and qualifications: Proven experience in
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Gammapy is an open Python library for astrophysical very-high-energy (VHE) gamma-ray data analysis. Amongst