7 of 7 PhD Jobs in Midlothian

research staff to shape SeeBytes research strategy. Key Skills, Experience and Qualifications A strong academic background in mathematics, physics, engineering, or a related field (e.g., BSc/MSc/PhD). Solid understanding of statistics, linear algebra, probability, optimisation, and machine learning techniques. Experience with algorithm development, numerical methods, or physical simulation. Proficiency in at least one programming language commonly More ❯

to the Sales and Business Development teams at SeeByte, to help scope and cost new programmes of work. Key Skills, Experience and Qualifications Graduated with a BSc, MSc or PhD in Software Engineering or a similar numerical degree (2:1 or above) Demonstrable experience managing software development teams and have a proven track record of delivering software projects on time More ❯

and manufacturing teams. Develop and execute design verification tests and produce documentation to support the transition of designs into production. Skills, Qualifications & Knowledge: A degree (BSc, BEng, MEng, MSc, PhD, EngD) in Electronic Engineering or a related field such as Physics, ideally with a focus on electronic techniques. Strong experience with PCB development tools and processes, preferably Siemens EDA. Expertise More ❯

solve problems to improve the quality of each model. In this role you will need to hold an expert understanding of chemistry- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Formulation Scientist, Development Chemist, Analytical Chemist, Chemical Engineer, Medicinal Chemist, Biochemist, Process Development Chemist. Benefits: This … complex chemistry 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 chemistry and inductive/deductive reasoning, physical/temporal/spatial reasoning Note: Payment More ❯

solve problems to improve the quality of each model. In this role you will need to hold an expert understanding of physics- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Astrophysics, Biophysics, Electrical Engineering, Nuclear Engineering, Chemical Engineering, Mathematics. Benefits: This is a full-time or … native or bilingual level) Detail-oriented Proficient in mathematics, inductive/deductive reasoning, physical/temporal/spatial reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. Job Types: Full-time, Part-time Pay: From £29.71 per More ❯

expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. These roles are ideal for recent PhD graduates seeking industrial research experience, or for exceptional B.Sc. or M.Sc. graduates looking to deepen their research skills in an industry setting. We welcome applicants with backgrounds in one or … or cloud computing and/or machine learning algorithms. Good programming skills, master of at least one language, such as C/C++. Good communication and teamwork skills. Desired: PhD in operating systems, distributed systems, machine learning, or a related field. Published papers in top journals/conferences focused on systems (NSDI, EuroSys, SoCC, OSDI etc.) and/or machine More ❯

Implement resource scheduling and orchestration mechanisms to ensure efficient execution of distributed tasks. Required: Education: Bachelor's or Master's degree in Computer Science or a related technical field. (PhD preferred but not required). Have an in-depth understanding of distributed systems and/or cloud computing and/or ML systems and/or multi-agent systems. Have … containerization (e.g., Docker, Kubernetes). Good programming skills, master of at least one language, such as Python, and/or C/C++. Good communication and teamwork skills. Desired: PhD in computer science, distributed systems, machine learning, or a related field. Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability More ❯