39 coding-"Multiple"-"Humboldt-Stiftung-Foundation"-"Duke-University" positions in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Groningen
- University of Amsterdam (UvA)
- CWI
- University of Amsterdam (UvA); Amsterdam
- University of Twente (UT)
- Wageningen University & Research
- Delft University of Technology (TU Delft)
- Leiden University
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Maastricht University (UM)
- Radboud University
- University of Twente
- University of Twente (UT); Enschede
- Vrije Universiteit Amsterdam (VU)
- 5 more »
- « less
-
Field
-
investigating astrocyte biology at multiple scales, from molecules to whole-brain function. As such, you will collaborate with an enthusiastic team of PhD students and postdocs from the lab of Mark Verheijen, as
-
/engineering degree in artificial intelligence/computer science/applied mathematics; demonstrated abilities in research or problem solving tasks (public challenges, coding competitions, published research, et
-
benefits resulting from changes of this system. Inventorizing its multiple functions, actors and users of the port water system, she/he/they will place these perceptions within the context of the broader
-
Biology, Neuroscience/(neuro-)immunology, or related fields; preferably experience with big data and omics analyses and coding (e.g. python, R); affinity and experience with performing animal experiments
-
spectrometry data analysis; experience with omics analyses and coding (e.g. python, R); experience with bacterial genetic engineering or mammalian cell culture is a plus; good project and time management skills
-
conditions, trip characteristics, and user preferences. Defined routes trade-off multiple criteria, where the exact importance of each objective is user dependent, and can be learned and improved over time
-
by two mentors within the SPACER project, and will have multiple opportunities to participate in professional and personal development training. Through her/his work she/he will gain a unique skill-set
-
wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
-
types of regenerative agriculture within the landscapes, five Engineering Doctorate candidates will work closely together and with a wide range of stakeholders to design multiple regenerative landscapes
-
steelmaking technologies (e.g., Direct Reduced Iron with hydrogen) and exploring long-term transition pathways through prospective LCA. It will evaluate multiple environmental impact categories, identify