and Liaise as needed with our academic and industry partners in order to perform the above duties and support new business and product development. Ideally you'll have: A PhD (or equivalent industry experience) in physics, geophysics, electronic engineering, computer science, mathematics, or a closely related discipline; Experience performing data analysis, algorithmic development, and/or digital signal processing in More ❯
technical. Experienced in taking on a technical leadership role in project settings. Holds a strong undergraduate degree in a STEM field with a significant focus on mathematics; possessing a PhD is beneficial but not mandatory. Proficient in Python programming. Experienced in managing large datasets, appropriate software techniques, and understanding hardware needs. Familiar with the software development lifecycle and Agile methodologies. More ❯
from multiple disciplines to refine and enhance workflows. Stay current with AI/ML and geoscience advancements to drive innovation. Contribute to publications, patents, and technical presentations. Desirable Experience PhD in geoscience. Proven application of AI/ML in geoscience projects. Experience with the energy sector. Familiarity with geological process modelling. Halliburton is an Equal Opportunity Employer. Employment decisions are More ❯
Didcot, Oxfordshire, South East, United Kingdom Hybrid / WFH Options
Bluestream People
Support business development and proposal activities with multiple customers and partners Lead/participate in specification trade-off negotiations with customers, partners, engineers, and working groups Experience: Educated to PhD or similar in Electrical Engineering, Mathematics, Physics, or related discipline Strong communication, analytical and mathematical skills Simulation and computer modelling (e.g., MATLAB, Python, C/C++, or similar) Digital signal More ❯
at internal and external meetings and conferences Undertake other duties in support of the research group as requested by the Group Leader Essential & Desirable Knowledge, Skills and Experience: A PhD (or equivalent) in a relevant scientific discipline (e.g. Biology, Chemistry, Engineering, Computer Science) Strong track record of hands-on research, ideally in mammalian cell culture and engineering, molecular biology, or More ❯
objectives meet practical application requirements. Communicate research results through internal presentations and external publications, as applicable. Maintain high standards of code quality, reproducibility, and team collaboration practices. Qualifications & Experience: PhD or equivalent experience in Computer Science, Machine Learning, or a related discipline. Proven experience in designing and implementing large-scale machine learning systems, including aspects of model training, finetuning, data More ❯
objectives meet practical application requirements. Communicate research results through internal presentations and external publications, as applicable. Maintain high standards of code quality, reproducibility, and team collaboration practices. Qualifications & Experience: PhD or equivalent experience in Computer Science, Machine Learning, or a related discipline. Proven experience in designing and implementing large-scale machine learning systems, including aspects of model training, finetuning, data More ❯
maximal performance and data quality. To stay abreast of new sequencing technologies and methodologies, integrating improvements to enhance performance, throughput and cost-efficiency. Essential Knowledge, Skills and Experience: A PhD (or equivalent industry experience) in a relevant field, such as genomics, molecular biology, synthetic biology, cell biology, or computational biology. Hands-on experience with next-generation sequencing technologies (e.g., Illumina More ❯
finalize designs through detailed CAD modelling and iterative optimization. Collaborate closely with manufacturing, simulation, and process engineers to ensure designs meet DFM and performance criteria. Essential Bachelors, Masters, or Doctorate degree in Mechanical Engineering, Computational Design, Industrial Design, Mathematics, or a related field. Expertise designing and engineering complex, high-performance components. Proficient with surface modelling. Experience developing parametric and computational More ❯
