Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Leiden University
- Nature Careers
- DAAD
- Leibniz
- Technical University of Denmark
- University of Groningen
- University of Luxembourg
- University of Southern Denmark
- Utrecht University
- ;
- ; The University of Manchester
- ; University of Cambridge
- Deutsches Elektronen-Synchrotron DESY •
- Institut Pasteur
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- Monash University
- Newcastle University;
- Radboud University
- SciLifeLab
- University of Bremen •
- University of British Columbia
- University of Minnesota
- University of Minnesota Twin Cities
- 15 more »
- « less
-
Field
-
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
-
. The Faculty external link has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we external link work on excellent research and
-
analysis, with possible specialisations in genomic and molecular biology techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics. This is based on perspective and
-
, tailored, complex materials such as advanced polymers or polymeric formulations, catalysts, mechatronic devices and software and algorithms. Design, control and modelling and analyses complement
-
control algorithms for whole system efficiency optimisation. Design and simulate power management circuits using tools like SPICE or MATLAB/Simulink. Prototype and test circuits with real energy harvesters
-
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
-
experience with algorithms relevant to computational biology documented programming skills, e.g. in Python and R very good communication and organizational skills with the ability to work to timelines, both
-
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
-
outcompeting in silico algorithms. The ambition of this project is to expand in chemico reservoir computing to other reaction networks, especially enzymatic reaction networks. By incorporating light-sensitive
-
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