27 condition-monitoring-machine-learning Postdoctoral research jobs at University of Florida
Sort by
Refine Your Search
-
; interface with park/permit authorities as needed. Mentor students; lead manuscripts and conference presentations; contribute to follow-on proposals (e.g., continuous monitoring concepts). UF is located in
-
clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A
-
Python and GEE for geospatial analysis and data science. Experience with machine learning/deep learning frameworks (e.g., PyTorch, TensorFlow) applied to image or geospatial data. A track record of first
-
postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference and machine learning. Dr. Liu's
-
Interaction, Educational Technology, Learning Sciences, Cognitive Science, or a closely related field. Job Description: The University of Florida (UF) is accepting applications for a full-time OPS Postdoctoral
-
)-statistics, (applied) mathematics, or a related STEM field. Prior working experience with EHR data, machine learning, NLP, bioinformatics, and large language models (LLM) is preferred. In particular
-
, and neural plasticity during learning and non-invasive neuromodulation. The postdoctoral researcher will study the influence of non-invasive vagus nerve stimulation on neural responses to speech sounds
-
healthy and tumor-bearing animals using machine learning and AI approaches; and (3) integration of PBPK and QSAR models with AI methods to develop AI-assisted computational approaches to support decision
-
computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL
-
of Biostatistics at University of Florida and Dr. Hongkai Ji (remote) in the Department of Biostatistics at John Hopkins University. This position, available immediately, focuses on developing statistical, machine