Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Aalborg Universitet
- DAAD
- Forschungszentrum Jülich
- Leiden University
- Linköping University
- Nature Careers
- UiT The Arctic University of Norway
- Umeå University
- Umeå universitet
- University of Twente (UT)
- Utrecht University
- Aalborg University
- CNRS
- CSIC
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Computer Vision Center (CVC)
- DIFFER
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- Empa
- Institute of Image-Guided Surgery of Strasbourg
- Leibniz
- Linkopings universitet
- Luxembourg Institute of Science and Technology
- Massachusetts Institute of Technology (MIT)
- Molde University College
- New York University
- Technical University of Denmark
- The University of Edinburgh;
- Universitat Politècnica de València
- University College Dublin
- University of Birmingham;
- University of Exeter
- University of Luxembourg
- University of Twente
- Vrije Universiteit Amsterdam (VU)
- 28 more »
- « less
-
Field
-
using nanopore technologies explore structural genomic differences between populations by combining de novo assemblies into a pan-genome graph perform population genomics analyses on re-sequenced animals
-
look forward to receiving your application! For more information regarding the employment https://liu.se/en/work-at-liu/vacancies/27309 Your work assignments The PhD position is part of
-
Do you want to contribute to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics
-
with data visualization (graphs, GIS maps, figures). Proficiency with GIS software and spatial data analysis is highly desirable. Strong writing skills, including the ability to contribute to manuscripts
-
methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using methods you develop before being transferred to a knowledge graph
-
) have some exposure to (hyper)graph theory, network science, and/or reaction mechanism/CRN studies. Candidates who do not meet all of these criteria should not feel discouraged. If you are interested in
-
programs. Alternatively, Mathematics, Computer Science, Computer Engineering, Electrical Engineering, or a similar field; Strong mathematical background: basic knowledge of graph theory and excellent
-
, or a similar field; Strong mathematical background: basic knowledge of graph theory and excellent background in linear algebra, finite fields and rings; Strong background in digital hardware design and
-
The SnT is seeking a Doctoral Researcher to support the research and development work within the SEDAN group (https://www.uni.lu/snt-en/research-groups/sedan ). We seek a candidate with expertise
-
graphs for heterogeneous pavement engineering knowledge aiming to speed up the learning cycle and support innovation and asset management. Job description The increasing accessibility of data in