Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
Project title: Developing and Evaluating Interpretable Approaches for Human-Centered Machine Learning.Project description: Approaches in interpretable machine learning offer promise in understanding
-
tools such as LTSpice (preferred)/TINA/Multisim. Knowledge of low-power biopotential amplifier design and energy harvesting techniques is preferred. Candidates with machine learning skills, particularly
-
5 Feb 2025 Job Information Organisation/Company University College Dublin Department School of Civil, Structural and Environmental Engineering Research Field Engineering » Civil engineering
-
Post Summary Project Description PhD applications are invited to develop advanced neuroimaging biomarkers of Alzheimer’s disease in mid-life, asymptomatic individuals. The Problem Dementia is a
-
or equivalent) Experience with machine learning tools (e.g., Scikit-learn, Tensorflow, PyTorch, etc.) Track record of publications/and conference papers in software modelling or programming, or system level
-
will allow candidates to develop skills in a variety of areas, including RNA engineering, RNA delivery, nanomaterials design, and gene therapy. This position will support projects focusing on engineering
-
collaborative investigation including teams with expertise in cell biology, molecular biology, biomedical engineering, clinical medicine and computational biology. The team aim to create a novel, targeted
-
. Entrepreneurship and Technology. Double accredited by AMBA and AACSB, a member of PRME and an Athena SWAN bronze awardee, CUBS is in the top 5% of business schools globally. We are looking to recruit 1 full-time PhD
-
Conway Institute of Biomolecular & Biomedical Research | Dublin Bar, Leinster | Ireland | 2 months ago
18 Feb 2025 Job Information Organisation/Company Conway Institute of Biomolecular & Biomedical Research Research Field Biological sciences » Biological engineering Engineering » Biomedical
-
Applications are invited from suitably qualified candidates for a full-time funded PhD scholarship starting in September 2025 affiliated to the College of Science and Engineering, at the University