Sort by
Refine Your Search
-
Listed
-
Employer
- University of Amsterdam (UvA)
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA); Amsterdam
- Delft University of Technology (TU Delft); Delft
- Leiden University
- Maastricht University (UM)
- University of Amsterdam (UvA); Published today
- Amsterdam UMC
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); today published
- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus University Rotterdam
- Leiden University; Leiden
- Leiden University; yesterday published
- Maastricht University (UM); yesterday published
- University of Amsterdam (UvA); Published 14 Nov ’25
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Amsterdam (VU); Published today
- Wageningen University and Research Center
- 11 more »
- « less
-
Field
-
therefore focus on a key challenge in this domain: the design of next generation decision support tools for battery operators, focusing on the participation in multiple consecutive short-term electricity
-
complex datasets with a preference for a candidate with at least basic knowledge of Python/R; Demonstrated interest in advertising or marketing communication and social media; An interest in open science
-
; Computational skills to handle and analyze complex datasets with a preference for a candidate with at least basic knowledge of Python/R; Demonstrated interest in advertising or marketing communication and social
-
on the participation in multiple consecutive short-term electricity markets and congestion management. To address this question, you will develop state-of-the-art model predictive control tools to guide market
-
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
-
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
-
(e.g. python, R); affinity and experience with performing animal experiments; experience with classical biological methods (e.g. dissections, immunohistochemistry, western blot, PCR, in vitro assays
-
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
-
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
-
innovative 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