864 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CESBIO" positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- Austria
- France
- Denmark
- United Kingdom
- Belgium
- Worldwide
- Spain
- United Arab Emirates
- Mexico
- Canada
- Switzerland
- India
- South Africa
- Sweden
- Australia
- Finland
- Ireland
- Italy
- Netherlands
- Singapore
- Argentina
- Hong Kong
- Japan
- Luxembourg
- Malaysia
- Norway
- Poland
- South Korea
- Turkey
- Vietnam
- 22 more »
- « less
-
Program
-
Field
-
to conferences For more information concerning this position, please contact Prof. Bertinelli, email: Your profile We are looking for a candidate with a PhD in economics, preferably with a specialization in
-
(graduated or close to graduation) in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields. Scientific curiosity and creative thinking
-
knowledge of the principles of growth and development for all ages served. Strong ability to assess and interpret age specific data about the patient's status. Strong clinical nursing, interpersonal, and
-
sustainable food systems, with strong expertise in dietary assessment, nutritional epidemiology, and data science. As Chair of Global Nutrition, you will have the opportunity to further shape and expand
-
central to shaping a newly established and rapidly scaling Plant Biology Institute with the ambition to become a global leader in plant phenotyping and data-driven plant science. The successful candidate
-
diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
-
research group “Machine Learning for Biomedical Data” led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves
-
will connect hospitals across Luxembourg, Germany, and Asia, establishing secure, future-proof communications for sensitive healthcare data. Alongside the network deployment, LIH is developing a real
-
materials synthesis, advanced operando characterization, and lab scale testing. We use robotic, high-throughput methods, and data science to accelerate novel sustainable materials discovery. PhD Position
-
ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability to work in a multidisciplinary, highly