Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Leiden University
- Nature Careers
- DAAD
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Technical University of Denmark
- Utrecht University
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- NTNU - Norwegian University of Science and Technology
- University of Cambridge;
- University of Luxembourg
- ;
- Brookhaven National Laboratory
- CNRS
- 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
- Leiden University; Leiden
- 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
- The University of Iowa
- UCL
- University of Antwerp
- University of Bremen •
- University of Cambridge
- University of Exeter
- University of Southern Denmark
- University of Tübingen
- VIB
- 30 more »
- « less
-
Field
-
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
-
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
-
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
-
PhD Position in Probabilistic and Differential Algorithms Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline
-
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
-
molecular biology techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics. Importantly, mastery of the experimental and theoretical aspects shall equip doctoral
-
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
-
Group (EASE IRTG), Empowering Digital Media (EDM), the Research Training Group HEARAZ , the Research Training Group KD²School (KD²School), π³: Parameter Identification – Analysis, Algorithms