99 machine-learning Fellowship research jobs in united-kingdom

Research Fellow - Efficient Machine Learning Systems

-funded project led by Dr. Jagmohan Chauhan in an exciting area of embedded machine learning. The post will be based at the University of Southampton. You will be working with Dr. Jagmohan Chauhan (PI), a

Research Fellow in Applied Adversarial Machine Learning

/6GIC), is looking to recruit a Research Fellow in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving

Research Associate/Fellow in Bioinformatics and Machine Learning (Fixed term)

generation sequencing and microbiology. The successful candidate will work closely with an interdisciplinary team of academics at University of Nottingham. The role will include data analysis via machine

Research Fellow in Applied Adversarial Machine Learning

Fellow in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving) project. The D-XPERT project represents a

Research Associate/Fellow in Bioinformatics and machine learning (Fixed term)

machine learning, bioinformatics, sequencing and microbiology. This role is available on a fixed term basis until 31st May 2027. Hours of work are full time (36.25 hours). Job share arrangements may be

Research Associate/Fellow in High Throughput Digital Materials Discovery with Machine Learning (Fixed term)

takes input from a machine-learning platform (Python-based) to produce new compositions. A cobot delivers the material to the furnace or a plasma spray to produce new coatings. The proposed research is

Postdoctoral Research Associate/Fellow - Machine Learning Project

the power of machine learning, you will explore the interplay between metabolomic and proteomic data and depression to transform our understanding of this pervasive disorder. Based at King’s College London, a

Research Fellow in Efficient Machine Learning Systems

 computer vision is required. Experience of efficient ML techniques, edge AI hardware platforms, low-power computing, earth observation is desirable.  They will have excellent programming skills (Python, C

Research Fellow in Efficient Machine Learning Systems

candidates must hold (or close to completing) a PhD in a relevant subject. Knowledge and experience in computer vision is required. Experience of efficient ML techniques, edge AI hardware platforms, low-power

Research Assistant in Machine Learning for Clinical Data Analysis - UK Dementia Research Institute

disease. This will involve data-driven feature extraction and the training and optimization of various machine learning models. The research will focus on analysing data from deeply phenotyped cohorts