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Field
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. Required Qualifications - PhD in a relevant field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. - Expertise in
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vivo animal procedures. Responsibilities also include data analysis, report and manuscript preparation. Required Qualifications • PhD in Virology, Viral Immunology, Microbiology or a closely related
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, tables, and graphical information as appropriate for dissemination in peer-reviewed publications, or presentation at professional conferences or in book chapters. 3. Data Analysis – Analyzing the findings
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, tables, and graphical information as appropriate for dissemination in peer-reviewed publications, or presentation at professional conferences or in book chapters. 3. Data Analysis – Analyzing the findings
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in vivo neurophysiological recordings and behavioral assays in mice and tree shrews. • Data Analysis: Process large-scale neural datasets, applying computational tools to model behavioral and neural
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. Required Qualifications - PhD in a relevant field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. - Expertise in
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of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education
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Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications / P...
at the microstructural level and what this means for the interpretation of macromechanical test data. Numerical methods, in particular FEM-based stress analysis at initiation sites within the framework of local fracture
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, to have the ability to develop and apply new concepts, to write numerical codes and run the simulations, as well as to write clearly and concisely for publication. Required qualifications: • a PhD in
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
following areas: High-dimensional probability and concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations