Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
- Computer Science
- Medical Sciences
- Biology
- Economics
- Engineering
- Science
- Chemistry
- Materials Science
- Mathematics
- Humanities
- Social Sciences
- Education
- Psychology
- Earth Sciences
- Environment
- Arts and Literature
- Linguistics
- Business
- Electrical Engineering
- Law
- Philosophy
- Physics
- Sports and Recreation
- 13 more »
- « less
-
Sensing (DAS) data from different locations in the Sea of Marmara region. The main purposes are (i) to compare detection thresholds between different types of instrumentation, (ii) to monitor seismic
-
. •Establish an individual development plan (IDP) that incorporates equally the postdoc's career and training goals and the mentor's research goals. •Pursue basic, clinical, or translational projects so long as
-
variety of different materials and minerals available both within New Zealand and internationally. You will utilize a variety of analytical equipment (ie. SEM-EDX, XRF, XRD, TGA, FTIR, GC …) to assess and
-
machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
-
expected to attend group meetings and seminars, design and carry out laboratory experiments, interpret data, and write up results for publication. Qualifications Requires a Ph.D. in Chemistry or Biochemistry
-
assimilation and machine-learning techniques, (b) process understanding of the neighborhood risk of heat waves and fires associated with the change of weather pattern, and (c) novel algorithm development
-
variables related to the weather conditions, road surface micro- and macro-texture, tire properties, driving speed, and behaviours of road users. This project aims at studying different data sources such as
-
composite materials for transportation and energy transmission applications. Key responsibilities include the design, fabrication, and characterization of novel composites with enhanced mechanical, electrical
-
model/crop species with different levels of genome complexity. You will work very closely together with your dry-lab colleagues for data processing, training models, and the design of synthetic promoters
-
information for ocean health, sustainable blue economy, and coastal climate risks, downstreaming the data flow from climate ensembles to coastal areas at different spatial resolutions and for selected areas, in