Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Utrecht University
- University of Amsterdam (UvA)
- Leiden University
- University of Twente
- Delft University of Technology (TU Delft)
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Radboud University
- Tilburg University
- Erasmus University Rotterdam
- European Space Agency
- Maastricht University (UM)
- AMOLF
- Eindhoven University of Technology (TU/e)
- University of Twente (UT)
- Amsterdam UMC
- Erasmus University Rotterdam (EUR)
- KNAW
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University Medical Center (Radboudumc)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University Medical Center Utrecht (UMC Utrecht)
- 12 more »
- « less
-
Field
-
structures. Your work will directly connect fundamental concepts in nanophotonics and measurement theory to the development of new sensing technologies, in close collaboration with experimental researchers and
-
own schemes for employees. This includes arrangements for professional development , various types of leave, and options for sports and cultural activities . You can also tailor your employment
-
scientific development of design tools and assessment frameworks that enable circularity in durable aerospace components. You will generate insights that directly inform the design process in other work
-
talents and realise your ambitions. Therefore, we provide various training and development schemes. Additional comments You can apply only via the button below. Address your letter of application to Prof
-
-driven society—and who gets left behind? What are the rules that govern the development and deployment of Generative AI different sectors of society, and towards what kind of society will they steer us? Is
-
at the University of Amsterdam and will lead the development of advanced computational data analysis methodologies. Your primary goal is to connect different levels of the degradation pathway to the parent molecule
-
; Contribute to the development of machine-learning models for classification and routing of complex electrolyte mixtures; Translate experimental data into Digital Product Passport-compatible formats and
-
to social and demographic dynamics and how this evolution relates to broader societal phenomena and systemic shifts such as structural inequalities, segregation, echo chambers or polarization. Working closely
-
partners Education (20%) Teach in bachelor’s and master’s programmes (Biomedical Sciences, Health Sciences, Systems Biology) Supervise BSc, MSc and PhD students Contribute to curriculum development in
-
the development of scalable, service-based back-end solutions with open-source frameworks and microservices (Docker) Familiarity with noSQL and Postgres databases and ElasticSearch. Experience with functional and