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Field
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guided by several scientific priorities, and a major one is the Program for Memory Longevity (PML), a signature program of OBI in hippocampal circuit biology and memory, led by Attila Losonczy, MD, PhD
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continuously conducting supervision and evaluation of bachelor’s (Biomedical Engineering, Biology and Medicine), master’s (Master’s in Molecular Biology and Biomedicine), and PhD degree projects of Spanish
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | 2 months ago
biology as a high-dimensional, dynamic, networked system, applying techniques from machine learning, causal inference, statistics, and algorithms. No prior biomedical training is required—just strong
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results Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic
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Job Description Apply now Job Title: Postdoctoral Associate - Cancer biology and bioinformatics Division: Molecular and Cell Biology Work Arrangement: Onsite only Location: Houston, TX Salary Range
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Primary Duties & Responsibilities: Assists research studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
in research, film, virtual reality, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling humans’ and animals’ shape
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applying new AI algorithms and models, motivated by biological research in biochemistry, drug design, immunobiology, neuroscience, and cancer biology. Example application areas include generative models
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implement the computational algorithms, automate data analyses workflow, curate published pan-cancer datasets, and build prediction models for novel transcriptome features analyses identified using bulk and
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biology, and cancer research, including foundation models, graph-based learning, and mechanistic modeling. The successful candidate will drive independent research programs, develop novel computational