Sort by
Refine Your Search
-
Country
-
Program
-
Employer
- ; Newcastle University
- Newcastle University
- Swedish University of Agricultural Sciences
- University of Groningen
- ; Midlands Graduate School Doctoral Training Partnership
- Department of Physics and Astronomy, Bologna University
- KU Leuven
- Linköping University
- Pennsylvania State University
- Sveriges lantbruksuniversitet
- Umeå University
- University of Bergen
- Utrecht University
- ; University of Warwick
- Constructor University Bremen gGmbH
- Curtin University
- Delft University of Technology
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Institute of Hydrology, Slovak Academy of Sciences
- Karolinska Institutet
- Luxembourg Institute of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- Pirkanmaan Sairaanhoitopiiri
- University Toulouse III - Paul Sabatier
- University of Amsterdam
- University of Copenhagen
- Uppsala University
- 17 more »
- « less
-
Field
-
precipitation into the atmosphere statistical methods for handling complex data Experience from data analysis using scientific programming, e.g., Matlab or Python, is a requirement. Experience from following is
-
are looking for an enthusiastic colleague who meets multiple of the following requirements: You have (completed or almost completed) a Research Master’s degree in AI, NLP, Statistics, Data Science, Computer
-
Master’s degree in Psychology, Sociology, Methods & Statistics, Organisation Science, Economics, Management, Public Administration, or a similar study. You have the ambition to conduct excellent scientific
-
to work with tasks outlined above, she/he is expected to establish own initiatives to move the PhD project forward and to work well in a team. Advanced knowledge related to statistical analyses will be
-
. Advanced knowledge related to statistical analyses, an understanding about the Swedish food system and about behavioral approaches will be of merit. Personal merits will play a significant role in the
-
energetic particle precipitation into the atmosphere statistical methods for handling complex data Experience from data analysis using scientific programming, e.g., Matlab or Python, is a requirement
-
. Advanced knowledge related to statistical analyses, an understanding about the Swedish food system and about behavioral approaches will be of merit. Personal merits will play a significant role in the
-
forward and to work well in a team. Advanced knowledge related to statistical analyses will be considered of merit, as will an understanding about the Swedish food system. Personal merits will play a
-
communities and carbon cycling, as well as statistical modelling will be considered assets. Fluency in spoken and written English is a requirement. Ability to communicate seamlessly with practitioners in Danish
-
systems and statistical mechanics as well as skills in molecular dynamics simulations are highly desirable especially for the first position. Proficiency in programming would be beneficial. A good command