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. Major responsibilites: The candidate will work independently to purify recombinant IDR constructs and label them for F19-NMR analysis. In parallel, the candidate will use Python for bioinformatics
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accompanied by relevant evidence, uncertainty estimates, and transparent explanations aligned with current clinical guidelines? Preferred starting date: 1 November 2026 Where to apply Website https
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Mathematics, Operational Research, or a closely related discipline. Demonstrable experience of conducting independent research and delivering research outputs. Strong programming skills in Python for data
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. The post holder will work with the Bakshi Lab's single-cell phage infection platform (https://www.bakshilab.net/ ) and an interdisciplinary team spanning microbiology, engineering and quantitative
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with Python -Experience training and evaluating machine learning models -Understanding of fundamental machine learning algorithms and best practices Course Description ARI 410 - Machine Learning CSC 375
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science » OtherEducation LevelBachelor Degree or equivalent Skills/Qualifications Experiencia en programación en Python y Pytorch Uso de herramientas de desarrollo de software, como Github o pyCharm
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to apply Website https://www.dfa.unipd.it/ Requirements Additional Information Eligibility criteria ● Primordial universe cosmology; ● Cosmological perturbation theory; ● Compact object physics and
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, Python and R. Equipment Utilized Microsoft Office Suite (Word, Excel, PowerPoint, Outlook), Microsoft Teams, SharePoint, Adobe Acrobat, Qualtrics, database and project management software. Physical Demands
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
culture, with at least five years of experience Experience in computational modeling with MATLAB, python, or equivalent programming language Knowledge of cell biology and physiology Proficiency in advanced
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University Classification Job Code: 8352DA The Accessibility Observatory or AO (https://access.umn.edu), a CTS research program, is a leading national resource for the research and application of access