Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Zintellect
- University of Oslo
- Nanyang Technological University
- King's College London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- CNRS
- CSIRO
- FEUP
- Høgskulen i Volda
- Indiana University
- Institute of Chemical Research of Catalonia ICIQ
- Instituto de Educação da Universidade de Lisboa
- KINGS COLLEGE LONDON
- Marquette University
- RUĐER BOŠKOVIĆ INSTITUTE
- The California State University
- UiT The Arctic University of Norway
- University of Colorado
- University of Michigan
- University of Surrey
- 10 more »
- « less
-
Field
-
asphalt binders in new pavements. Under the guidance of a mentor, the participant will participate in the development and optimization of chemical processes to improve the performance of biobased additive
-
, master's, or doctoral degree in one of the relevant fields. Preferred Skills: Experience in food processing engineering Experience in food science and technology Excellent written and oral communication
-
to investigate aroma and flavor compounds found in fresh/processed foods as well as agricultural by-products. Under the guidance of a mentor, the fellow will have the opportunity to establish flavor profiles
-
required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process
-
nearing completion); (2) experience or interest in watershed hydrology, urban stormwater, and/or water reuse technologies; and (3) experience or interest in computer programming, process-based modeling, and
-
investigate memory processes and how memory dysfunction arises in disease. This project aims to advance our understanding of the mechanisms underlying memory deficits in temporal lobe epilepsy. The project will
-
processes and how memory dysfunction arises in disease. This project aims to advance our understanding of neural codes for time and their relation to memory deficits in patients. The project combines
-
and other approaches to understand the mechanisms underlying islet microvasculature dysfunction and blood flow changes in type1 diabetes. This can include applying advanced signal processing approaches
-
biology, minimum grade B (ECTS grading scale) or equivalent. The master’s degree must include a thesis of at least 30 ECTS. Excellent written and oral communication skills in English. Knowledge of a
-
provide a fundamental understanding of the physical processes at play when droplets interact with soft hairy surfaces and when actively driving a soft sheet near a wall. Essential to the projects is