Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- France
- Netherlands
- Sweden
- Norway
- Spain
- Poland
- Australia
- Portugal
- Italy
- Austria
- Denmark
- Belgium
- United Arab Emirates
- Finland
- China
- Singapore
- Canada
- Switzerland
- Japan
- Hong Kong
- Ireland
- Luxembourg
- Czech
- India
- Mexico
- Morocco
- Romania
- Croatia
- Greece
- Macau
- Saudi Arabia
- South Africa
- Bulgaria
- Estonia
- Israel
- Lithuania
- Slovenia
- South Korea
- Vietnam
- Worldwide
- 33 more »
- « less
-
Program
-
Field
-
in AI for Materials Modeling The Materials Modeling Group , established in February 2026 and led by Prof. Malik Wagih in the Department of Materials at ETH Zurich, invites applications for a PhD
-
models. Further information about the group can be found on the GSI webpage: https://www.gsi.de/en/work/research/biophysics/biophysical_research/immune_system_and_tissue_radiobiology Your responsibilities
-
signals at a time from on-board sensors) battery-powered embedded device that collects and processes the data (using an AI model) from the human mouth and transmit the data wirelessly for further analysis
-
approach of microbiology, biochemistry, molecular biology, multi-omics and mathematical modelling to understanding the role of metabolic pathways in the virulence and antimicrobial susceptibility
-
deployed. The research will therefore combine qualitative fieldwork with computational modelling to develop approaches that operate under uncertainty, adapt as the landscape changes, and generalise beyond
-
experimental datasets to inform and validate mathematical models. A record of excellence, creativity and initiative in research which establishes a strong potential to build a vigorous and competitive research
-
at uncovering how the plant hormone cytokinin regulates morphogenesis using Arabidopsis thaliana leaves as model. They will join a young and growing research lab and will be expected to bring enthusiasm, and a
-
particle validation; (2) the robustness of learning models, which is strongly dependent on data quality, representativeness and evolution, particularly with the emergence of new ammunition types and lead
-
, reasoning, and problem-solving skills. Good understanding of computational biology, probabilistic models, statistics, machine learning, and discrete mathematics. Ability to adapt and change as new
-
University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Metabolic Flux Analysis (MFA), kinetic modeling, or constraint-based genome-scale modeling (COBRA). • Strong mathematical background in differential equations, linear algebra, and optimization. • Background