Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
the following requirements: A PhD degree in Chemical Engineering, electrochemistry, or related fields. Solid knowledge and demonstrated skills in one of the following areas: coordination chemistry
-
two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both
-
developed algorithms with the designed hardware in the best way. Document design specifications, and design trade-offs clearly. Qualifications Applicants should hold a PhD in electronics, computer engineering
-
; supporting program and policy evaluation; developing or refining methodologies for enhancements of different aspects of Weatherization Assistant Program (https://weatherization.ornl.gov/softwaredescription
-
in the mentoring of PhD students co-hired on the project. For this exciting project, we seek talented and motivated candidates with experience in fungal biochemistry, molecular biology, and/or
-
of influential knowledge leadership bringing the School together with students, business and society in learning to make a difference. Over the last five years ULMS has engaged in extensive recruitment of academic
-
during the project period in courses at DTU. Candidates should have a two-year master's degree and as a formal qualification, you must hold a PhD degree (or equivalent) preferably culturing basidiomycetes
-
-cultural study, the project will establish how beliefs and practices of different religious traditions affect cognitive computations during normative decisions. The goal of the CREDO project is to produce
-
for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
-
collaboration with an interdisciplinary team including biologists, pedologists and other experts. You will work with various types of spatial data collected from multiple sources and at different scales. We