Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Leiden University
- SciLifeLab
- DAAD
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- ;
- ; Loughborough University
- ; The University of Manchester
- Delft University of Technology (TU Delft)
- Deutsches Elektronen-Synchrotron DESY •
- Institut Pasteur
- Leibniz
- Luxembourg Institute of Science and Technology
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Terrestrial Microbiology, Marburg
- Max Planck Institutes
- Monash University
- RMIT University
- Technical University of Denmark
- University of Bremen •
- University of British Columbia
- University of Cambridge
- University of Groningen
- University of Pennsylvania
- University of Southern Denmark
- 16 more »
- « less
-
Field
-
field; Affinity with formal methods, including an understanding of basic of automata theory, formal languages, algorithms, and computability --- i.e., foundational computer science theory. Candidates with
-
individual with a MSc degree in computer science, mathematics, chemistry, computational biology or a related subject. The ideal candidate has familiarity with one or more of the following areas: algorithmics
-
people across disciplines and with a variety of perspectives and backgrounds. The Faculty external link has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics
-
an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The Department of Microbiology, Tumor and Cell Biology (MTC) at Karolinska Institutet
-
individual with a MSc degree in computer science, mathematics, chemistry, computational biology or a related subject. The ideal candidate has familiarity with one or more of the following areas: algorithmics
-
Max Planck Institute for Terrestrial Microbiology, Marburg | Marburg, Hessen | Germany | 2 months ago
motivated, curious, and creative candidates excited about designing new enzymes for critical global challenges. What you should bring: Master’s degree in Biochemistry, Synthetic Biology, Bioinformatics, or 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
-
at the single-cell level, using tools from optimal transport, mathematical optimization, and machine learning. In addition to method development, the work includes applying and benchmarking algorithms on both
-
the form of a human-expert informed reward function. Second, we aim for the integration of low-energy machine learning algorithms, so that the resulting AI model can run on a variety of devices, including
-
Job Description We invite applications for a fully funded PhD position focused on the development of advanced computer vision and machine learning algorithms for detection and identification