Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Germany
- Denmark
- United Kingdom
- Norway
- Portugal
- Netherlands
- Poland
- Spain
- France
- Austria
- Belgium
- Croatia
- Finland
- Switzerland
- Romania
- Czech
- United Arab Emirates
- Greece
- Australia
- China
- Luxembourg
- Canada
- Italy
- Morocco
- Estonia
- Hong Kong
- India
- Slovenia
- South Africa
- Latvia
- Japan
- Singapore
- Worldwide
- Ireland
- Bulgaria
- Europe
- Macau
- Vietnam
- Brazil
- Cyprus
- Germany / Finland
- Iceland
- Malaysia
- Mexico
- Qatar
- Ukraine
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Biology
- Economics
- Medical Sciences
- Engineering
- Science
- Mathematics
- Materials Science
- Chemistry
- Linguistics
- Earth Sciences
- Environment
- Social Sciences
- Humanities
- Psychology
- Arts and Literature
- Business
- Law
- Education
- Philosophy
- Electrical Engineering
- Physics
- Design
- Sports and Recreation
- Statistics
- 15 more »
- « less
-
of job advertisements can be found on our Website: https://hu.berlin/DSGVO . Please visit our website www.hu-berlin.de/stellenangebote , which gives you access to the legally binding German version. Where
-
the robustness and sensitivity using quantitative microbiological molecular methods for the lysis solution to process multiple sample types, concentrating on samples of tongue swabs, exhaled breath condensate and
-
Bucharest Website https://resurseumane.ase.ro/pnrr-cf_178-jobkg-a-knowledge-graph-of-the-romanian-job-market-based-on-natural-language-processing/ Street Piata Romana nr.6 sect.1 E-Mail petre.caraiani
-
market using data available on online recruiting platforms, deploying state-of-the-art approaches in Natural Language Processing, Semantic Web, and Agent-based Modeling. For this purpose, an extensive
-
-translational PhD: cohort coordination (with clinical team), sample processing, immune profiling, and data interpretation. Publish in peer-reviewed journals and present at conferences. Contribute to limited
-
management teams). In addition, you have experience with quantitative empirical research, statistical and econometric analysis (e.g., Stata, R), and / or natural language processing (Python, R). Passion
-
costly to deploy at scale. This leaves a critical capability gap in wildfire early detection. This PhD will explore a novel solution: using ambient Radio Frequency (RF) signals as passive environmental
-
artificial intelligence, computer science, engineering, mathematics, physics, or a related discipline Demonstratable background in machine learning, information retrieval or natural language processing
-
should also be able to work both independently and as part of a multidisciplinary team, and must demonstrate a high standard of spoken and written English. The working environment The PhD student will be
-
committed to diversity and encourages all qualified applicants to apply, regardless of their personal background. Given the nature of the project’s empirical work, applicants must be fluent, or near-fluent