4 of 4 Remote PhD Jobs in the North of England

academics, industry practitioners and another KTP associate, and translate Machine Learning, AI, and Software Engineering techniques to deliver a robust Software/AI enabled solution. Candidates will require a PhD or a very strong Masters degree with relevant work/project experience in Machine Learning, AI, Data Science, Applied Statistics, Computer Science. This post is funded through a Knowledge Transfer More ❯

and partners Conduct specification trade-off negotiations with customers, partners, engineers and working groups Qualifications, Experience and Competencies Degree in Electrical Engineering, Maths or Physics. Master's degree or PhD would be preferred Proven capability in developing wireless communications systems from the physical layer processing in the digital domain down to RF and the antenna(s) Experience in analysis of More ❯

a passion for delivering quality software. Ideal candidates will have: A strong software background with excellent programming skills. Experience leading a team or leading software projects. A degree or PhD in Computer Science or a related field. A solid understanding of language semantics-especially C/C++. The ability to tackle complex technical challenges. Proficiency in one or more of More ❯

solve problems to improve the quality of each model. In this role you will need to hold an expert understanding of biology- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Microbiology, Cell Biology, Genetics, Physiology, Biochemistry, Molecular Biology, Biotechnology, Environmental Science. Benefits: This is a full … complex biology problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: A current, in progress, or completed Masters and/or PhD is preferred but not required Fluency in English (native or bilingual level) Detail-oriented Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking. More ❯