886 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"J.-F" positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- Austria
- France
- Denmark
- United Kingdom
- Belgium
- United Arab Emirates
- Spain
- Worldwide
- Mexico
- Canada
- India
- Switzerland
- Australia
- Ireland
- South Africa
- Sweden
- Netherlands
- Vietnam
- Malaysia
- Finland
- Italy
- Singapore
- Taiwan
- Algeria
- Argentina
- New Zealand
- South Korea
- Turkey
- 20 more »
- « less
-
Program
-
Field
-
integrating clinical big data and artificial intelligence, the program aims to identify novel therapeutic targets and accelerate the translation of fundamental discoveries into personalized medical solutions
-
identification. This work will involve the analysis of large-scale, multi-modal datasets, including genomic/multi-omic data (short- and long-read based), imaging and health records, using state-of-the-art data
-
of evolutionary anthropology and medicine (W2) to be filled at the earliest possible date. The professorship will represent the field of population genetics in both research and teaching. Its focus is on the data
-
biopsy development. This role is suitable for candidates with either (i) a computational background (e.g. bioinformatics, data science, computational biology) who enjoy working closely with experimental
-
of complex diseases of all types. This data is now helping to power fundamental advancements in digital pathology, including the training of class-leading pathology foundation models and task-specific models
-
, regardless of their role, receive the resources, support, and encouragement to advance and grow their careers. The Clinical Research Associate I-RN operates under general supervision. Performs data abstraction
-
microscopy data analysis, chemometrics, and machine learning. This position is ideal for a researcher who enjoys working at the interface of imaging, data science, and environmental monitoring. The project
-
Work The place of work is Ny Munkegade 120, 8000 Aarhus C. Contact Information Further information about the position may be obtained from / For further information please contact: Dr Simon Wall +45
-
sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and understanding by
-
researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe