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Field
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with Python, C, and C++ languages, as well as solid experience in model design, tuning, and evaluation. A good understanding of microarchitectures is an asset, as is experience in microarchitecture
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, experience in experiments high energy particle physics or nuclear physics, very good knowledge of c++ and Python programming languages, proficiency with data analysis framework ROOT/PyROOT, knowledge
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learning, or phylogeographic analysis. Proficiency in R, Python, or another relevant programming language. Publication record using real-world data to inform mechanistic models. Graduate training in ecology
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preferred. Experience with atmospheric models (e.g., GEOS-Chem, CMAQ) and skills in python, Fortran and high-performance computing are also desired. Position Status Full Time Posting Number 25FA0918 Posting
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-throughput screening approaches Experience with organoid culture systems Knowledge of bioinformatics tools and programming (R, Python) Track record of peer-reviewed publications Baylor College of Medicine is
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biophysics, biology, biochemistry, or other relevant discipline Excellent written and spoken English skills High degree of independence and commitment Good knowledge of python and C++ Experience in relevant
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and practical skills in the field of data science, especially multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability
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, computer science, or a related field. Technical Skills: Proficiency in programming languages such as Python, R, and MATLAB. Experience with machine learning frameworks and bioinformatics tools. Research
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: C++, Python, Matlab, R. ● Building analytical pipelines that include image processing, image registration, auto-segmentation, feature extraction, pathomics, and radiomic analysis ● Proficiency
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the gas phase Experience with diagnostics based on cavity enhanced spectroscopy Experience in the field of plasma spectroscopy Confident use of tools such as Python, Matlab and Origin Highly motivated and