Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
professional. You will have sound knowledge of quantitative and qualitative research methods and their application. Additional Information THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY. Closing date: 28th
-
-established PhD programme. The Department is home to high-profile research centres including: the Centre for Justice Reform; the European Social Survey (ESS) centre, the Violence and Society Centre, the Work
-
of lease planning, hybrid working models, and space management systems, alongside hands-on experience with Computer Aided Facilities Management (CAFM) software such as Planon, or similar platforms
-
to convene and deliver national symposia on workplace wellbeing and resilience; Providing insight and analysis grounded in organisational psychology theory and methods. This role will form part of an existing
-
of practice and has a positive impact on the world around us. Background Junior /entry level role. Responsible for level 1 and 2 software and hardware support, predominately via telephone, face to face at
-
St George’s, University London. Support is provided over the phone, with remote tools and local visits. Responsibilities You will be responsible for level 1 and 2 software and hardware support. You
-
also be expected to participate in scholarly activity and leadership within the international academic community. Person Specification The successful applicant will have a PhD in Engineering/Computer
-
lectures. You'll help students navigate industry-standard software and workflows, ensuring they gain practical, hands-on experience. We're seeking a collaborative team player who thrives in a high-pressure
-
sector experience. Experience working with high net-worth individuals or high value organisations Experience of using a Customer Relationships Management software to maximise relationship management
-
of analytics research and teaching at Bayes, including in the context of O&SCM. Our research focuses on developing and applying new analytical models and methods to improve managerial decision-making. Our