Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Germany
- Sweden
- China
- Belgium
- Austria
- Poland
- Canada
- Australia
- Netherlands
- Denmark
- Hong Kong
- Spain
- Singapore
- United Arab Emirates
- Italy
- India
- Czech
- Latvia
- Portugal
- South Africa
- Andorra
- Luxembourg
- Ireland
- Lithuania
- Croatia
- Cyprus
- Estonia
- Armenia
- Bulgaria
- New Zealand
- Norway
- Switzerland
- Barbados
- Europe
- Greece
- Japan
- Malta
- Morocco
- Qatar
- Saudi Arabia
- Slovenia
- Worldwide
- 35 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Mathematics
- Business
- Social Sciences
- Arts and Literature
- Education
- Psychology
- Humanities
- Chemistry
- Linguistics
- Electrical Engineering
- Materials Science
- Environment
- Design
- Physics
- Sports and Recreation
- Earth Sciences
- Law
- Philosophy
- 14 more »
- « less
-
related Data Science area such as Biostatistics or Statistical/Machine Learning and have a track record of independent research of international standing. Reporting to the Head of School of Mathematical
-
Caribbean populations of African descent. Most mechanistic insights derive from non-representative cohorts, limiting biomarker discovery and therapeutic precision. Recent multi-omic and machine learning
-
information on the QML-CVC team visit: http://qml.cvc.uab.es CONTEXT AND MISSION We are seeking a PhD student to join the Quantum Machine Learning team (QML-CVC) in beautiful Barcelona. The QML-CVC team (https
-
or a strong aptitude for using advanced computational tools, AI, or machine learning techniques to address engineering challenges; and interest or initial experience in interdisciplinary collaboration
-
journals or conferences; experience with or a strong aptitude for using advanced computational tools, AI, or machine learning techniques to address engineering challenges; and interest or initial experience
-
professionals at undergraduate and graduate levels, promotes lifelong learning, and enhances the well-being of individuals, children, and families residing in rural, urban, and military communities throughout
-
. Qualifications: Required Education and/or Experience: Must have a PhD degree from an accredited institution of higher learning; or Must have a Master's degree from an accredited institution of higher learning and
-
statistical inference, machine learning and population genetics. The expected outcomes include new computational tools for studying B cell evolution, insights into age dependent immune diversity and the
-
courses in computing and related areas, with preference for candidates who can teach in one of the following areas: AI and Machine learning (courses like Applied Machine Learning, Deep Learning
-
Website https://bit.ly/3HDLRTw Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Specific Requirements Position Specific Required Qualifications: PhD in in Computational Sciences