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
- United Arab Emirates
- China
- Switzerland
- Canada
- Luxembourg
- Ireland
- Italy
- Czech
- 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
- Engineering
- Biology
- Economics
- Science
- Mathematics
- Business
- Chemistry
- Arts and Literature
- Social Sciences
- Humanities
- Materials Science
- Linguistics
- Psychology
- Education
- Electrical Engineering
- Environment
- Earth Sciences
- Law
- Physics
- Design
- Sports and Recreation
- Philosophy
- Statistics
- 15 more »
- « less
-
materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
-
mutations, etc.), analysis and integration of mass-spectrometry proteomics datasets, and artificial intelligence/machine learning (AI/ML) and systems-biology-focused efforts (i.e. large genomics and
-
) Lab and Dr. Thomas D. Parsons, PhD invites applications for a postdoctoral Scholar focused on research in human computer interaction, computer science, virtual humans, health technologies, simulation
-
. Parsons, PhD invites applications for a postdoctoral scholar focused on research in human computer interaction, computer science, virtual humans, health technologies, simulation science, and immersive
-
to sustain an active research and publication agenda and to teach in the departmental undergraduate and graduate programs. Candidates with expertise in machine learning, big data, mathematical finance and
-
Reflectometry The aim of the PhD project is to provide machine learning (ML) based neutron reflectometry (NR) analysis as an automatized workflow for the reflectometry instruments at the Institut Laue-Langevin
-
. The successful candidate will have the responsibility of developing, in collaboration with Dr Whelan and the PhD students, machine learning tools for the handling of the Mauve and MUSE datasets. They will also be
-
DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
abiotic resources. We integrate remotely sensed information with in-situ data, process-based models, and leverage satellite communication, IoT and machine learning technologies in order to provide evidence
-
complex biological systems. Research Environment & Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable
-
years) and a PhD degree (after 5 years). Contract terms The Doctoral student positions are fully funded from start. The position is a fixed-term appointment of four years, with the possibility to teach up