Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Norway
- Sweden
- France
- Belgium
- Denmark
- Netherlands
- Singapore
- Spain
- Portugal
- Hong Kong
- Australia
- Poland
- Austria
- China
- Switzerland
- United Arab Emirates
- Canada
- Luxembourg
- Ireland
- Czech
- Italy
- Estonia
- Finland
- India
- Latvia
- Cyprus
- Morocco
- South Africa
- Andorra
- Bulgaria
- Lithuania
- New Zealand
- Brazil
- Romania
- Saudi Arabia
- Slovenia
- Worldwide
- Armenia
- Croatia
- Israel
- Japan
- Barbados
- Europe
- Greece
- Iceland
- Malta
- Qatar
- Slovakia
- Taiwan
- Vietnam
- 43 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Economics
- Science
- Mathematics
- Business
- Chemistry
- Arts and Literature
- Social Sciences
- Humanities
- Materials Science
- Psychology
- Linguistics
- Education
- Electrical Engineering
- Environment
- Earth Sciences
- Law
- Physics
- Design
- Sports and Recreation
- Philosophy
- Statistics
- 15 more »
- « less
-
identification Experience in collaborative and international projects Experience/knowledge in HIL systems Hands-on lab experience and/or interest Knowledge on Machine Learning, or other AI techniques Personal
-
brings complementary and/or additionally new expertise including AI/Machine Learning-based methodologies that can be developed for virtual ligand screening, reverse virtual screening (target fishing) and
-
the "Machine Learning and Gene Regulation" team led by William Ritchie, specializing in bioinformatics and post-transcriptional regulation. The scientific environment at the IGH — international seminars, journal
-
, energy consumption, and packet loss. The use of distributed machine learning provides a relevant solution to mitigate the lack of communication reliability [3][4]. This PhD proposes to guide the learning
-
or more of the following areas: AI and machine learning, natural language processing, large language models (LLM), experience in designing prompts, fine-tuning LLMs, or distributed systems. Good knowledge
-
Hands-on lab experience and/or interest Knowledge on Machine Learning, or other AI techniques Personal Skills: Team Worker Initiative in Research and Innovation Flexibility Results-oriented Analytical and
-
identification Experience in collaborative and international projects Experience/knowledge in HIL systems Hands-on lab experience and/or interest Knowledge on Machine Learning, or other AI techniques Personal
-
at the interface of biostatistics, machine learning, and biomedical data science. This mentored postdoctoral position is designed to support the development of an independent research trajectory in methodological
-
Research and Imaging Centre (BRIC; https://www.plymouth.ac.uk/research/psychology/brain-research-and-imaging-centre ) . TARAs benefit from waived study fees and will work towards a PhD in an area of
-
and modelling of omics, clinical and imaging data, development of reproducible pipelines, application of machine learning techniques, integration of multi-modal data, scientific publication and