Birmingham, West Midlands, United Kingdom Hybrid / WFH Options
Anson Mccade
frameworks (TensorFlow, PyTorch, or Caffe). Strong mathematical and statistical skills. Broad knowledge of core data science techniques, such as: Supervised/unsupervised machine learning Cross-validation andBayesian inference Time-series analysis and NLP SQL database querying and APIs for models Ability to innovate and develop new algorithms where needed. Leadership mindset - fostering technical growth, supporting More ❯
Leeds, West Yorkshire, Yorkshire, United Kingdom Hybrid / WFH Options
WRK DIGITAL LTD
Experienced with Cloud Security best practices. Hands-on experience with DevOps lifecycle, tools and frameworks. Desirables Knowledge of ML approaches such supervised/unsupervised machine learning, reinforcement learning, Bayesian inference. AWS Certification is a strong benefit. Experience with Google Clouds Big Data tools. Proficient with Kafka is plus but not essential If youre a data visionary with More ❯
Present technical solutions in a way that resonates with non-technical stakeholders, highlighting the business impact of data-driven insights. Solutions Development Develop and deploy Data Science models andmethods to deliver business solutions that are Explicitly highly valued by the client and key stakeholders. And/or successfully scaled and embraced as useful across multiple platforms/products. … different business questions. Hands-on experience with power analysis to ensure experiments are statistically robust, properly sized, and deliver actionable insights. Familiarity with GeoX trimmed match and synthetic control methods to assess campaign impact in the absence of true randomisation. Applied experience in Bayesian Causal Impact modellingand other advanced causal inference methods to estimate More ❯
maintenance. The ideal candidate will be a good communicator and have a growth mindset with an enthusiasm for scientific discovery and strong interest in applying a combination of AI methodsand mathematical models toward understanding mechanistic aspects of cellular processes with all experimental labs at Altos Labs. The ideal candidate is particularly interested in multi-scale (systems) biochemistry and … loop between experimental and theoretical work, at multiple scales, from molecules to cells, tissues and even whole organisms. Working at the interface between mathematical and computational models, and AI methods, with the aim of establishing design principles of rejuvenated cells. Collaborating with both experimental and computational scientists across Altos. Influence best practices in areas such as Bayesian … Biology, Computational Biology, Computer Science, or closely related field with strong emphasis in biological modeling. Relevant industry and/or academic experience. Expertise and a track record of using methods from artificial intelligence for biological design. Record of applications of dynamical systems to problems of synthetic biology. Record of applications of data driven modeling methodsand AI to More ❯
our services. Aid in business growth by engaging in client meetings, presentations, and proposals, highlighting the advantages and functionality of our technological offerings. Required Skills: Skilled in various modellingmethods such as active learning, transfer learning, agent-based modelling, optimization, Bayesian inference, entity extraction/resolution, and spatio-temporal modelling. Proficient in developing models from fundamental More ❯
Research Fellows and Postdocs in Probabilistic Machine Learning andBayesian Inference Aug 11, 2021 Research Fellows and Postdocs in Probabilistic Machine Learning andBayesian Inference I am looking for researchers to my new team in Manchester, UK, funded by the UKRI Turing AI World-Leading Researcher Fellowship programme "Human-AI Research Teams - Steering AI … in Experimental Design and Decision-Making". Closing date of call: September 6, 2021. The research is fundamental research in probabilistic modellingandBayesian inference, applied to the exciting problems of how do we steer machine learning systems. Particularly challenging is to steer when we cannot (yet) precisely specify our goal, and ultimately we would like to … design and decisions. I am not expecting anyone to master all of these, though if you do, please apply immediately The team will have excellent opportunities of applying the methods to medicine, especially cancer research and remote medicine; experimental design in synthetic biology and drug design; and digital twins. We have top-notch collaborators in each, both in Academia More ❯