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Field
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project, the Software Engineering and Technology Cluster at TU/e is hiring a two-year postdoc to lead research on guidelines and metrics for impactful open research software practices. Information The GUIDE
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assistant requires a master’s degree and the position as postdoc requires a PhD degree. In both cases an educational background within robotics, mechanical engineering, electrical engineering, computer
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primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants
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quality and evidence grounding Calibration, uncertainty, and appropriate deferral Trace auditability and clinician-in-the-loop evaluation Profile Must Have PhD in Computer Science, Machine Learning, Medical
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partners; - analyze the behavioral traces and verbal data using suitable methods (regression, clustering analysis, Bayesian models); - contribute to the identification of relations between mediation
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, and contribute to science communication and our open-source tools Your Profile Master and/or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, or a closely related field
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• Interdisciplinary applications ranging from biomechanics and geophysics to fluid and polymer models Further information can be found here: https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis
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well as numerous other benefit programs. https://www.tamus.edu/business/benefits-administration/ What you need to know TTI is a Texas based agency. This position has the flexibility of a hybrid remote option with
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sequencing, bulk RNA-seq, and single-nucleus RNA/ATAC using R, python, command line interface and high-performance computing clusters Thorough documentation and communication of experiments and findings with
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campus. Who we are looking for Requirements Applicants must have: A PhD in Immunology, Cell Biology, Biochemistry, Biology, Medicine, Biomedical Sciences, or another relevant life science field Significant