Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Denmark
- Technical University of Munich
- University of Groningen
- Utrecht University
- Wageningen University and Research Center
- Ariel University
- Chalmers University of Technology
- DAAD
- Erasmus University Rotterdam
- Hannover Medical School •
- Max Planck Institute of Biochemistry •
- Norwegian Meteorological Institute
- University of Antwerp
- University of Bonn •
- University of Cologne •
- VIB
- 7 more »
- « less
-
Field
-
astrophysics, condensed matter physics and solid state theory, statistical and biological physics, mathematical physics, quantum information theory, and nuclear physics. Course organisation All graduate studies
-
technologies. The successful candidate will have strong data-driven methodological learning opportunities with high social impact on cancer care organisation. They will work within an interdisciplinary team
-
, communication and presentation skills, project management, statistical analysis, leadership skills, and many others. This allows our students to acquire transferable skills that are not routinely communicated in
-
validate the identified key (epi)genetic molecular and explore their therapeutic potential in vitro and in vivo disease models. Profile The candidate should: have an MSc in Systems Biology, Molecular Biology
-
health behaviour. Using a novel combination of deep learning, street view imagery, and epidemiological methods, we aim to identify the most effective urban exposure modifications. This research will
-
for this position will have the following qualifications/qualities An MSc degree in chemistry or a related field. Very strong academic performance. Experience in molecular machine learning. Experience with
-
learn to write scientific papers. Research area and project description In the ERC-funded project DECIDE we aim at developing a new generation of heuristic and exact methods for two-stage stochastic
-
knowledge on epidemiological and statistical methods To scientifically contribute to narrow evidence gaps in epidemiological and health research To acquire the ability to present results and methods
-
MSc in Systems Biology, Molecular Biology, Natural Sciences or related disciplines be very motivated and enthusiastic to learn and expand both computational and experimental skill set have analytical
-
, by performing dedicated GCM simulations. Your qualities We are looking for inspiring and driven candidates who have: a MSc in physics, applied mathematics, meteorology, geosciences or a related field