138 software-engineering-model-driven-engineering-phd-position positions at Lancaster University
Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
for an enthusiastic and proactive individual to join the Library Teaching and Engagement team within Academic Services. You will provide liaison and support for the Faculty of Science and Technology and Faculty
-
join the BEACON programme and lead field experiments and mechanistic modelling investigating how disturbance disrupts reef fish behaviour and ecosystem function. Salary: Grade 7. Location: Lancaster
-
looking for an opportunity to use your skills and experience to drive positive change at Lancaster University? This is an exciting opportunity to join our new Widening Participation and Early Intervention
-
wellbeing and looking for an opportunity to use your skills and experience to drive positive change at Lancaster University? This is an exciting opportunity to join our Widening Participation and Early
-
hold a PhD in a relevant field, having a background in preclinical translational neuroscience, brain imaging approaches and behavioural techniques. You should have experience of working with mouse models
-
. These methods will be integrated with ecological experiments and mechanistic models to create real-world conservation tools. We are looking for someone with a strong technical foundation and curiosity about
-
Facilities - Engineering and Maintenance Location: Bailrigg, Lancaster, UK Salary: £23,580 to £23,742 (Full-time indefinite) Closing Date: Monday 31 August 2026 Interview Date: To be confirmed
-
Linux ecosystem, a successful candidate will be working alongside the existing team of Research Infrastructure Engineers and wider communities engaged in distributed computing projects across the UK and
-
communication, identify opportunities for service improvement, operate with cultural intelligence and help ensure technology services are delivered effectively and efficiently. Working closely with senior
-
security, ethical and quality standards. About you We are keen to hear from candidates who have: a PhD (completed or near completion) in statistics, applied mathematics, geospatial/ environmental data