Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- Portugal
- Poland
- Germany
- France
- Spain
- Denmark
- Norway
- Czech
- Belgium
- Netherlands
- Morocco
- Austria
- Switzerland
- Finland
- Italy
- Singapore
- Australia
- Luxembourg
- Croatia
- Hong Kong
- Japan
- United Arab Emirates
- Brazil
- China
- India
- Lithuania
- Romania
- Vietnam
- Canada
- Estonia
- Europe
- Ireland
- Israel
- Mexico
- Slovenia
- Worldwide
- 29 more »
- « less
-
Program
-
Field
-
husbandry and breeding * Conduct rodent laboratory experiments, including but not limited to handling and injection of mice and behavioral assays * Set up and maintain laboratory equipment * Conduct molecular
-
: 27.02.2026 WHEN TO APPLY:27.03-10.04.2026 WEBSITE: http://wiadomosci.sggw.pl/ https://bazaogloszen.nauka.gov.pl/ https://euraxess.ec.europa.eu/jobs KEY WORDS: molecular biology, RNA biology, bioinformatics
-
mining waste rock, tailings, and run-off water in Sweden along with bioremediation of these acidic and metal laden sites. Specifically, the PhD will investigate the molecular ecology of mining and metals
-
molecular dynamics (MD) simulation tools and AI-driven approaches. The role also builds a systematic design platform that integrates reporter and preclinical data in close collaboration with experimental
-
protein-protein interactions • apply molecular docking (Glide, AutoDOCK) and molecular dynamics simulations (AMBER, NAMD, GROMACS) to assess binding affinities and evaluate stability of BAF-compound
-
within research and education. The following will strengthen your application: Familiarity with any of: molecular simulation methods (integrators, force fields, enhanced sampling), structural biology
-
approach must be combined with mechanistic models that describe the specific microstructure elements. A variety of inputs from both experimental work and simulations (i.e., first principle, atomistic, and/or
-
Learning in molecular simulations and in inverse molecular design. However, candidates from all quantitative backgrounds with experience and an interest in modern machine learning are welcome to apply
-
molecular fossils, active metabolisms, or physical structures. These data can contain biological and non-biological features that exhibit extremely complicated, correlative, informational properties
-
advances the interface of quantum information science and condensed matter theory, particularly in areas such as quantum computation, quantum error correction, quantum simulation, tensor-network methods