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collaboratively with graduate students, postdocs, and the PI to support ongoing research projects. Follow IACUC protocols and institutional safety guidelines. · Attends weekly lab meetings, departmental seminars
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experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus
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, registers and other clinical studies Knowledge and practical application of various statistical packages, such as R and Python Ability to adapt and/or develop statistical and machine learning methodology
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/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology, genomics, and epigenetics. Experience in next-generation sequencing
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a novel multi-omics approach that integrates high-throughput imaging and machine learning methods with CRISPR/Cas9 screens and saturation mutagenesis to answer central questions about the
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large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in
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Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects. The work includes collaboration with ELLIS Institute Finland
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an interactive, LLM-based AI system for materials science research. This is a unique position that sits at the intersection of artificial intelligence, materials science, human–computer interaction, and research
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https://www.academictransfer.com/en/jobs/356112/postdoc-specialist-validation-o… Requirements Specific Requirements This is not a standard role, and we are looking for a unique individual who thrives
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the upcoming flood type, e.g. heavy-rainfall flood or rain-on-snow flood. As PhD candidate you will compare several machine-learning based algorithms regarding their ability to predict the flood type based