15 of 15 R Jobs in Cambridge

A strong academic background with a degree in Computer Science or a related field Proficiency with a data focused coding language such as Python, R or SQL Experience using ML frameworks including TensorFlow and PyTorch The ability to work individually and within a team Strong written and verbal communication skills More ❯

in developing and applying machine learning models, particularly in deep learning, probabilistic modeling, and/or NLP. Proficiency in programming languages such as Python, R, or Julia, with experience using ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with biological datasets such as genomic, transcriptomic, proteomic, or imaging data. More ❯

experience of evaluating AI models using a range of methods, including methods relating to the domain of explainable AI. Proficiency in either Python or R for conducting complex statistical analyses (Python preferred). An ability and willingness to learn and apply new statistical approaches for addressing particular evaluation challenges. An More ❯

or related languages. Experience in patents or publications at top-tier peer-reviewed conferences or journals. PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities More ❯

quality control, alignment and processing as well as analysis and interpretation Familiarity with data visualization and analytics tools Comfortable coding in either Python or R It would be great if you had: Knowledge of analysing epigenetics datasets such as ATAC-seq ChIP-seq, WGBS, MeDIPs, etc Experience in analysing ‘omics More ❯

quality control, alignment and processing as well as analysis and interpretation Familiarity with data visualization and analytics tools Comfortable coding in either Python or R It would be great if you had: Knowledge of analysing epigenetics datasets such as ATAC-seq ChIP-seq, WGBS, MeDIPs, etc Experience in analysing ‘omics More ❯

quality control, alignment and processing as well as analysis and interpretation Familiarity with data visualization and analytics tools Comfortable coding in either Python or R It would be great if you had: Knowledge of analysing epigenetics datasets such as ATAC-seq ChIP-seq, WGBS, MeDIPs, etc Experience in analysing ‘omics More ❯

and machine learning Experience in building machine learning models for business applications Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc. Experience in implementing Computer Vision algorithms Amazon is an equal opportunities employer. We believe passionately that More ❯

and machine learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience in implementing Computer Vision algorithms. Amazon is an equal opportunities employer. We believe passionately that More ❯

page is loaded Principal Software Architect Apply locations Cambridge, United Kingdom time type Full time posted on Posted 7 Days Ago job requisition id R-100181 About SiFive As the pioneers who introduced RISC-V to the world, SiFive is transforming the future of compute by bringing the limitless potential More ❯

case-by-case basis and if approved by the Company. The AI/Machine Learning and Digital Health team within Johnson & Johnson Innovative Medicine R&D designs cutting-edge insights and solutions employing various data sources across multiple disease areas. We are in search of an exceptional postdoctoral scientist with … in computer vision, including the application and development of AI methods and optimization of machine learning models. Proficiency in programming languages such as Python, R, C++, or Java, and with AI frameworks including PyTorch, and OpenCV. Extensive experience with traditional and modern computer vision techniques, including object detection (YOLO, SSD … Faster R-CNN), image segmentation (U-Net, Mask R-CNN), image classification (VGG, ResNet, Inception, EfficientNet), and feature extraction (SIFT, SURF, ORB). Experience with various machine learning techniques (including fully supervised, unsupervised, self-supervised, and weakly supervised learning) and specific architectures (Convolutional Neural Networks (CNNs), Vision Transformers (ViTs), and More ❯

kidney and respiratory diseases, the collaboration leverages the world class capabilities of Cambridge University to provide transformational impact for patients, while aligning with GSK R&D strategic priorities. The Data Scientist will play a pivotal role in the development and deployment of advanced computational pipelines aimed at optimizing data analysis … or PhD in a biological science is desirable. Experience processing and analysing large biological datasets. Experience of development in a programming language such as R or Python. Comfortable working with Linux/Unix and shell scripts. Familiarity with SQL and database design. Experience with workflow management tools (e.g., Nextflow) for More ❯

The Role This is a programming and commissioning role. The main role will be focused on implementing software on our systems and all aspects of install/commissioning both at company and at customers sites. This role will likely include More ❯

The Role This is a programming and commissioning role. The main role will be focused on implementing software on our systems and all aspects of install/commissioning both at company and at customers sites. This role will likely include More ❯

The Role This is a programming and commissioning role. The main role will be focused on implementing software on our systems and all aspects of install/commissioning both at company and at customers sites. This role will likely include More ❯