Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
in national and European projects, including the MSCA Doctoral Network TAILOR. Where to apply E-mail [email protected] Requirements Research FieldEngineering » Biomedical engineeringEducation LevelMaster
-
experimental procedures (e.g., electrode/optical-fiber implantation, viral injections), and establish and refine the associated protocols. Analyze large-scale neural datasets, developing or adapting
-
research projects and centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively
-
ideas to solve the various technical challenges; be able to exchange views and knowledge with the OnePlanet and imec community of experts and scientists, widening your professional network. At OnePlanet
-
performance, etc.). In-situ optical measurements, Raman, AFM and operando TEM (with DC2) will be used to detect the mechanical adaptability of a polymer during Zn plating, while MD simulations (with DC5) and
-
Little Rock and offers as well as online courses. With the addition of the Arkansas Research and Education Optical Network (ARE-ON), students can engage in information exchange with others anywhere in
-
institutions and other customers. Designs, implements, and manages enterprise data, voice, optical, and wireless networks. Works as a member of a 24 hour on-call rotation for network emergencies and outages
-
for research & education networking; the Pacific Wave international R&E peering facility; and the C3 optical ring around Lake Washington. In addition to supporting a variety of network scales, we also design
-
of eye-tracking systems to the study of the spatiotemporal trajectory of attention, or in the modelling and use of deep neural networks with fractional-order derivatives; • authorship or co-authorship
-
interest and expertise should include (1) study methodology: e.g., systematic review, meta-analysis, network meta-analysis, clinical trial, sources of bias, comparative effectiveness research, patient