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in the present and in the evolutionary past. It can uniquely contribute to understanding how we got here and what we need to do. In the first unit of this course, students will gain a deep
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The Department of Ecology and Evolutionary Biology is seeking applications for a 100% LEO Lecturer I position teaching BIOLOGY 171, Introductory Biology: Ecology and Evolution. The responsibilities will
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(e.g. transcriptomics, metabolomics) Knowledge of machine learning/deep learning algorithms Knowledge of systems biology approaches (e.g. genome-scale modeling) Proficient with R, Python or MATLAB Modes
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Apply Now Responsibilities* Conduct research focused on designing and implementing algorithms related to cryo-electron microscopy (cryo-EM) data collection in a lab that focuses on the structural
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or improvement. The intern will analyze the performance of AI models by comparing model predictions against established benchmarks. They will contribute insights on how to optimize algorithms and improve
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and intermediate level, with a focus on programming control, perception, planning, and algorithmic functions for robots. Topics will include data representation, memory concepts, debugging, recursion
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computational tools and algorithms developed in the lab for processing and visualizing proteomics data (known as FragPipe computational platform). The individual will work in close collaboration with other
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the Department of Ecology and Evolutionary Biology at the University of Michigan is seeking a Research Lab Technician. The lab focuses on ecosystem ecology, food web ecology, coastal and coral reef ecology, global
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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ancestors faced and how has this shaped who we are today? To pursue these concepts, we need to adopt a multidisciplinary perspective, drawing from fields as diverse as anthropology, evolutionary biology