Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Leiden University
- Nature Careers
- DAAD
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- University of Cambridge;
- University of Luxembourg
- University of Southern Denmark
- ;
- Brookhaven National Laboratory
- CNRS
- Carl von Ossietzky Universität Oldenburg
- Centre for Genomic Regulation
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Deutsches Elektronen-Synchrotron DESY •
- Drexel University
- Eindhoven University of Technology (TU/e); 4 Oct ’25 published
- Faculty of Science, Charles University
- Foundation for Research and Technology-Hellas
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Institut Pasteur
- Institute for bioengineering of Catalonia, IBEC
- International PhD Programme (IPP) Mainz
- Leibniz
- Leiden University; Leiden
- Linköpings universitet
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- Monash University
- NTNU Norwegian University of Science and Technology
- Newcastle University;
- St. Anna Children's Cancer Research Institute (St. Anna CCRI)
- St. Anna Kinderkrebsforschung e.V.
- The University of Iowa
- UCL
- University of Antwerp
- University of Bremen •
- University of East Anglia
- University of Exeter
- University of Minnesota
- University of Tübingen
- Uppsala universitet
- VIB
- 37 more »
- « less
-
Field
-
, such as whole genome sequencing, single-cell sequencing and cell barcoding, using established workflows, new methods and your own algorithms. Through this, you will identify the genetic and phenotypic
-
locomotion. Apply machine learning and machine vision algorithms to track body and limb movements. Use biomechanical modeling to analyze walking data and fit locomotion models. Operate a force sensor to
-
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
-
-on monitoring with cutting edge data-driven and physical based models, including the deployment of machine learning algorithms. The project aims to have a tangible impact on the way urban waters are monitored
-
provides a unique opportunity to work at the intersection of AI and experimental science, combining fundamental algorithmic development with real-world applications in scientific imaging. Due to limitations
-
of an image analysis algorithm for particle tracking and speed quantification. Requirements for candidates: Essential: BSc and MSc in biochemistry, biology, biophysics, biotechnology, biomedical engineering
-
experimental molecular biology and data analysis. Doctoral candidates can specialize in genomic and molecular biology techniques, as well as in algorithms, statistics, and artificial intelligence for molecular
-
. The department is located at the Biomedical Centre in Uppsala, which facilitates collaborations with research groups in biology, pharmacy, medicine and SciLifeLab and gives access to advanced
-
the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck of computational load for such a development. In the frame of a
-
observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control