Sort by
Refine Your Search
-
Listed
-
Country
- United States
- France
- United Kingdom
- Germany
- Sweden
- Spain
- Austria
- Singapore
- Belgium
- Australia
- Poland
- Netherlands
- United Arab Emirates
- Canada
- Portugal
- Italy
- Denmark
- Czech
- Ireland
- Switzerland
- China
- Finland
- Bulgaria
- Hong Kong
- Luxembourg
- Romania
- Cyprus
- Latvia
- Lithuania
- New Zealand
- Croatia
- Kuwait
- Malta
- Morocco
- Andorra
- Europe
- Greece
- India
- Japan
- Norway
- Slovakia
- Worldwide
- 32 more »
- « less
-
Field
- Computer Science
- Engineering
- Economics
- Medical Sciences
- Biology
- Business
- Science
- Mathematics
- Materials Science
- Environment
- Chemistry
- Humanities
- Psychology
- Earth Sciences
- Arts and Literature
- Electrical Engineering
- Education
- Linguistics
- Law
- Physics
- Social Sciences
- Sports and Recreation
- Design
- Philosophy
- Statistics
- 15 more »
- « less
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
, tables, etc…); processing, analysis, and display. Experience in engineering and graph database work. Experience programming in Python and deploy Jupyter notebooks. Experience working independently and
-
Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing
-
. Proficiency in full-stack AI development - front-end and back-end (e.g., Python, React, Vue, Node.js, Typescript, API's, databases, Git/GitHub, CI/CD, AI Coding Assistants, Infrastructure as Code
-
), Cloud Computing (e.g., AWS), Networking (e.g., Cisco CCNA), Database Management (e.g., MySQL, Oracle), and Programming (e.g., Java, Python, cloud based development). Effective interpersonal skills
-
and academic excellence. Ready to be part of our team? Let’s shape the future together! Where to apply Website https://iventajobdata.eu/bestmedia/img/2293325/1915754/cl/7c7695ab265bad0de8c30
-
AI and in silico methods (Ref. LISBOA2030-FEDER-00719600; 2023.18347.ICDT and DOI https://doi.org/10.54499/2023.18347.ICDT ), co-funded by Lisboa2030, Portugal2030 and by the European Union and by
-
preferred candidate will have experience teaching data wrangling, programming in Python and base R, and industry experience in data analytics or data science. The role will cover the full range of duties
-
micro data on firms, banks, investors, currencies, trade and financial asset transactions is welcome. Familiarity with Python, Stata, R, MATLAB, SQL is preferred. Candidates should address how they would
-
infrastructure concepts Proficient with scripting languages (Python, Powershell, Bash, etc.) Experience mentoring technical teams and leading complex projects Excellent problem-solving, communication, and
-
, engineering, or a related field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell