Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
and conduct consultations with key informants, including preparation of documents and presentations Draft project report and associated presentation materials. Manage data and all project-related
-
scholarship of $2,500 established to honour the contributions to the College of Applied Biology by the founding Chief Executive Officer (Executive Director). The College of Applied Biology is the regulatory
-
minimizing power loss and simplifying the circuits design, IVRs contribute to better thermal management and thus to a higher overall system efficiency. This PhD research project targets the development
-
, and enabling faster power management loops with better power integrity and savings. By minimizing power loss and simplifying the circuits design, IVRs contribute to better thermal management and thus
-
applications. Responsibilities include overseeing staff, managing multi-disciplinary projects, and fostering partnerships with academic institutions and industry to enhance the chemical characterization of bio
-
following asset criteria: a) Evidence of project leadership, project management, grants or awards; b) Experience in leading collaborations; c) Experience with advanced computing platforms, systems
-
PDN interconnects, and enabling faster power management loops with better power integrity and savings. By minimizing power loss and simplifying the circuits design, IVRs contribute to better thermal
-
: The successful candidate will work primarily on the following sections of the project. Data analysis: In conjunction with Dr. Deborah Maia de Lima and Dr. Claudia Mitchell, the candidate will : 1) Transcribe and
-
pathway enrichment analyses. Preprocess and manage metadata to ensure reproducibility and integrity of datasets. Perform proteomic analysis using OLINK datasets, including data integration with single cell
-
the supervision of Dr. Robert Froese. This PhD student will address the DIVERSE project theme focused on the assessment and mapping of functional diversity and redundancy at the national scale, using remote sensing