Sort by
Refine Your Search
-
your experience, skills, and achievements in meeting (or the potential to meet) the criteria set out below. A writing sample from your published work or PhD which evidences your ability to produce high
-
team, which as of January 2026 comprises two PDRAs, three PhD students and two MChem students, with three different nationalities. We work on ligand design and synthesis, transition-metal catalysis
-
skills, with the ability to liaise with a range of stakeholders. Desirable Criteria: A PhD (or be close to submission) in Electronic Engineering, Mechanical Engineering, Computer Engineering, or a closely
-
are applicable to some visas. Person Specification Essential Criteria: Qualifications A good first degree in area of specialism (e.g., cyber security, computer science, or electrical engineering) A PhD (or be
-
or SHAPE subject. A PhD (or be close to submission) in Technology Policy and Management, or a closely related field Experience 3. Experience in conducting high quality academic and scientific research
-
humanities subject. 2. A PhD (or be close to submission) in a topic relevant to environmental change in the Anthropocene. Experience 1. Experience in conducting high quality academic research focused
-
applicable immigration requirements, including salary thresholds which are applicable to some visas. Person Specification Essential Criteria: Qualifications 1. A good first degree 2. A PhD in a related
-
thresholds which are applicable to some visas. Person Specification Essential Criteria: Qualifications A good first degree in or MSc in Plant Biotechnology, Bioengineering or a related subject. A PhD (or be
-
Specification Any changes to the criteria need to be highlighted. Dept can contextualise Person Specification Essential Criteria: Qualifications A good first degree in Mechanical Engineering [subject]. A PhD in a
-
-related degrees, etc. 2. A PhD, preferable from a relevant subject area, such as sport and exercise sci-ences, any health-related degrees, etc. Experience 3. Experience in conducting quantitative research