Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Leiden University
- DAAD
- Leibniz
- Technical University of Denmark
- University of Groningen
- University of Luxembourg
- University of Southern Denmark
- ; University of Cambridge
- CNRS
- Deutsches Elektronen-Synchrotron DESY •
- Drexel University
- Institut Pasteur
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- Leiden University; Leiden
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- Monash University
- The University of Iowa
- The University of Manchester
- Universidad de Alicante
- University of Bremen •
- University of British Columbia
- University of Minnesota
- University of Minnesota Twin Cities
- Università degli Studi di Sassari
- Utrecht University
- VIB
- 18 more »
- « less
-
Field
-
Apply now The Faculty of Science, Leiden Institute of Advanced Computer Science, is looking for a: PhD Candidate, Efficient LLM Algorithm, Hardware and System Design (1.0 FTE) Project description We
-
Description Main tasks You will join the Institute of Medical Systems Biology and the bAIome Center for Biomedical AI ( baiome.org ) to complement our lively and enthusiastic team of machine
-
, tailored, complex materials such as advanced polymers or polymeric formulations, catalysts, mechatronic devices and software and algorithms. Design, control and modelling and analyses complement
-
diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
-
. BSc degree in Biology, Biomedicine or a relevant discipline (Biochemistry, Neuroscience) MSc degree (or equivalent) in Epidemiology, Biostatistics, Data Science or related discipline. Strong
-
objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
-
field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
-
data Development of algorithms for infection and evaluation of infection hotspots in the plant population Coordination of the scientific interface to the project partners with regard to entomological
-
of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world network data
-
of the North Sea. Existing automated detection algorithms will be used to identify seals and porpoises. The results will be used to create seasonal acoustic presence maps, investigate differences in community