6 Machine Learning Jobs in Stevenage

a complex Seeker model. Undertaking and documenting system studies and performance analysis. Encouraging innovation for example improved agile methods, process improvements, and use of machine learning/AI in the products. To be considered for this role, applicants will need to be qualified to degree level in a … report writing. Modelling and coding (significant experience of MATLAB and ideally Simulink). Experience in forming hypotheses and creating the method to prove them. Machine Learning and AI. They are extremely keen to find someone with a passion for the defence industry and technology and they can offer … facilities) Hybrid working (project dependent) Key Skills: Algorithms Engineer, Algorithm Development, Integration, System Studies, Performance Analysis, Data Analysis, RF Systems, Modelling, Coding, MATLAB, Simulink, Machine Learning, AI. Due to the nature of work undertaken at our client's site, incumbents of these positions are required to meet special more »

explant model systems. By exploiting patient-derived organoids and explants/derivatives, the Oncology Translational Research team will apply a multimodality analytic approach, plus machine learning models which are coupled with paired patient-derived data feedback, to improve cancer patient risk stratification as well as to predict future … of various multimodal assays . Build relationships with internal Oncology Translational Research teams and with cross-functional partners in disciplines (such as AI/ML, Precision Medicine, Oncology Project Leaders, Oncology Research Units and Oncology Clinical Development, functional genomics ( FxG ), proteomics, clinical imaging, etc ) to work together towards improving patient … using data fusion strategies . Experienced with 3D microscopy and associated processing methods ( e.g. lightsheet ) Experience analyzing data from clinical trials . Experienced with machine learning methods relevant to multivariate and multimodal small and large datasets . Significant experience in managing and training lab team members in academic more »

other Research Technologies groups (including Human Genetics & Genomics, Large Molecule Discovery, Molecular Modalities Discovery, Pre-Clinical Sciences, and Data and Predictive Sciences), AI/ML, Research Statistics, and the Therapeutic Areas to design, execute, and analyze imaging endpoints in target discovery and validation screens. Additionally, the successful candidate will contribute … delivery of project and department objectives to the highest scientific standard. Maximize information content derived from imaging readouts through internal collaboration with AI/ML and Research Statistics teams. Clearly record in electronic lab notebooks and communicate study results at internal and external meetings. Contribute to the development of high … apply: Fluent in 1 or more programming language; ability to write and run custom analysis scripts and debug code written by others. Experience with machine learning a plus. Experience running high throughput, high content screens (i.e. understanding of screening best practices, experience using automated liquid handling platforms). more »

exploiting patient-derived explants/derivatives (PDE), is developing and implementing cutting-edge cellular, genomic and molecular techniques with a multimodality analytic approach, plus machine learning models to improve cancer patient risk stratification as well as to predict future targeted and/or immuno-therapy susceptibilities. Key Responsibilities more »

by exploiting patient-derived explants/derivatives, is developing and implementing cutting-edge cellular, genomic and molecular techniques with a multimodality analytic approach, plus machine learning models to improve cancer patient risk stratification as well as to predict future targeted and/or immuno-therapy susceptibilities. Key Responsibilities more »

team that, by exploiting patient-derived organoids, is developing and implementing cutting-edge cellular, genomic and molecular techniques with a multimodality analytic approach, plus machine learning models to improve cancer patient risk stratification as well as to predict future targeted and/or immuno-therapy susceptibilities. Key responsibilities more »