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campuses of Rutgers related to origins of life research, artificial intelligence methods development, evolutionary biology, and computational biology.Prof. Kaelber is recruiting a “dry lab” scientist
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lineages follows a constrained developmental sequence and to model the evolution of body size using bounded evolutionary models. 3) Biomechanical and Hydrodynamic Modeling: Apply computational fluid dynamics
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lineages follows a constrained developmental sequence and to model the evolution of body size using bounded evolutionary models. 3) Biomechanical and Hydrodynamic Modeling: Apply computational fluid dynamics
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longevity, metabolic homeostasis, and age-related functional decline. The laboratory also has a strong computational background and extensive experience developing high-throughput systems for quantitative
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-related functional decline. The laboratory also has a strong computational background and extensive experience developing high-throughput systems for quantitative analysis of behavior and aging, allowing
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science and engineering. Eligible subject areas include computational biology and/or biomedicine, multi-modality fusion and inference (visual and NLP data), computationally efficient ML
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Posting Summary Rutgers University-Camden, the School of Art & Sciences, Biology Department, the Center for Computational and Integrative Biology ( CCIB ), and the Yakoby Lab, invites applications for a
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analyzes research studies using intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines
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computational pipelines using MATLAB , Python, or similar platforms. Leads manuscript preparation for peer-reviewed journals and presents findings at national and international conferences. Contributes to
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computational pipelines using MATLAB , Python, or similar platforms. Leads manuscript preparation for peer-reviewed journals and presents findings at national and international conferences