Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Germany
- Netherlands
- Sweden
- Portugal
- Belgium
- Denmark
- Italy
- Czech
- Switzerland
- Australia
- Spain
- Poland
- Norway
- Austria
- Canada
- Finland
- United Arab Emirates
- Singapore
- Estonia
- Hong Kong
- Ireland
- Morocco
- Romania
- Japan
- Brazil
- Croatia
- Luxembourg
- Taiwan
- China
- Cyprus
- Greece
- India
- Lithuania
- Macau
- 27 more »
- « less
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Economics
- Science
- Engineering
- Mathematics
- Earth Sciences
- Environment
- Social Sciences
- Arts and Literature
- Materials Science
- Chemistry
- Business
- Humanities
- Linguistics
- Design
- Electrical Engineering
- Education
- Law
- Physics
- Psychology
- Sports and Recreation
- 13 more »
- « less
-
: https://go.unl.edu/aboutus As an EO employer, the University of Nebraska considers qualified applicants for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual
-
spatial confinement within coordination cages, with an emphasis on the synthesis of pharmaceutical building blocks containing four-membered heterocycles. Who we are looking for The applicant
-
more than 2.3k international students and 10k students of color • 217k+ alumni worldwide • For more interesting facts about OSU visit: https://oregonstate.edu/about Locations: Oregon State has a statewide
-
agricultural datasets proficiency in R and/or Python for analysing spatial data, particularly in the context of remote sensing, ensuring robust data processing and interpretation strong ability to communicate
-
planned research exploring how urbanisation processes, mobility dynamics, and essential services shape spatial inequalities and development pathways, with a focus on non-core urbanising regions and late
-
. Strong programming skills in languages like Python or R. Professional experience in the application of Machine Learning algorithms in the mapping and correction of spatial data. Professional experience in
-
-confidence 3D structures of GA transporters and their complexes (using AlphaFold2/AF2-multimer, AF3 Server, DMFold, DeepMSA2, amongst others) -Predict the spatial position of the GA ligand in the internal
-
the spatial and temporal transferability of the models. • Projection of the relationships obtained in future climate scenarios using ADAMONT projections to assess how gravitational crisis episodes will evolve
-
-diffusive(-thermal-chemical) behavior of fiber-reinforced composites at the micro/meso-scale. These models will incorporate uncertainty via stochastic inputs, such as random field representations of spatially
-
the tissue response around the materials will be followed by multimodal approaches including (among others) time-lapsed in vivo imaging, multiphoton intravital microscopy, spatial transcriptomics and