Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. As the lead architect in this area, the post-holder collaborates closely with other IT teams, such as network administrators, software developers, and system engineers, to ensure that security
-
effectively at all levels and to build networks and effective working relationships are essential for the role. To thrive in this fast-paced and deadline-driven operational role, you will need to be able
-
complex behaviours, including learning, in the small invertebrate model organism C. elegans. We have recently discovered a range of novel dopamine receptors in C. elegans and found that different receptors
-
), electrophysiology (EEG), interventional (TMS, tDCS) and neurocomputational (machine learning, reinforcement learning) approaches to understand the network dynamics that support learning and brain plasticity
-
to foster dialogue. You will also support a wide range of other activities to build the network and explore live policy issues. The CSaP network is extraordinary. While centred on the University of Cambridge
-
to the IT Director, you will play a key strategic and operational leadership role in delivering the School's IT vision. You will lead a multidisciplinary team of IT professionals across systems, networks, AV
-
development of networking activities. The successful candidate will possess or be close to completing a doctorate in an academic area relevant to the Mphil taught programme in Real Estate Finance. You will have
-
, knowledge/technology transfer or technology/innovation and have some relevant policy engagement experience in these areas. Excellent interpersonal, networking and communication skills are required
-
. Travel in the UK to engage major donors and prospects. Work collaboratively across Cambridge's collegiate development network to maximise impact. Who we're looking for: We're seeking a confident, curious
-
for industry partners. One of the primary programmes delivers training to enable the upskilling and reskilling of employees to handle complex large datasets using cutting edge statistical and machine learning