Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
the department of Experimental Psychology at the Faculty of Behavioural and Social Sciences. The candidate will work under the shared supervision of Prof Dr Jelmer Borst (Artificial Intelligence) and Prof Dr Elkan
-
and Master’s programmes of the department at Utrecht University. The project leader and daily supervisor will be Dr Francesca Sangiorgi and close collaboration in the project will be with Prof. Gert
-
particular in deep learning, LLM, digital hardware design, embedded systems, audio processing; Proficiency in deep learning frameworks (e.g. PyTorch) and programming skills (SystemVerilog, Verilog, Python, C
-
, the group of Prof. Sylvestre Bonnet is looking for a chemist with proven experience in synthetic bioinorganic chemistry, photochemistry or photopharmacology, and/or chemical biology, to investigate
-
We are looking for a PhD candidates for a joint project between the groups of prof. Nathalie Katsonis, prof. Willem Kegel, and prof. Ben Feringa, that will be carried out within the framework
-
organization in Iron Age and Roman Portugal’, funded by the Cultuurfonds (Regato fund) and led by Prof. dr. Tesse Stek and Dr. Anita Casarotto. The Research Assistant's primary responsibility will be to support
-
. Anne Loeber, VU University. You will be institutionally embedded in the Knowledge, Technology and Innovation (KTI) chair group led by Prof. Anita Hardon at Wageningen University. We offer you Wageningen
-
. Annemie Struyf external link , and Prof. Jeroen Janssen external link . Your qualities You combine independence and reliability with a creative, proactive mindset and a strong commitment to academic
-
at https://werkenbij.uva.nl/en/vacancies/phd-position-for-advanced-nearest-neighbour-models-for-active-matter-netherlands-14247 . Contact: Prof. dr. Jo Ellis-Monaghan Email: Postal Mail: P.O. Box 94248
-
comfortable applying analytical thinking to explore research questions and have programming experience (preferably in Python). You have an affinity with coastal numerical modelling, e.g. AeoLiS, XBeach