Sort by
Refine Your Search
-
Listed
-
Country
- United States
- France
- United Kingdom
- Italy
- Sweden
- Germany
- Spain
- Singapore
- Belgium
- Denmark
- Poland
- Portugal
- United Arab Emirates
- Netherlands
- Australia
- Austria
- Hong Kong
- Canada
- Worldwide
- China
- Czech
- Ireland
- Luxembourg
- Malta
- Bulgaria
- India
- Andorra
- Japan
- Romania
- Armenia
- Croatia
- Cyprus
- Estonia
- Europe
- Finland
- Mexico
- New Zealand
- Slovakia
- 28 more »
- « less
-
Field
-
algorithms to analyze and recognize multimodal human behavior in real world settings (e.g., Affective Computing, AI for Healthcare: pain measurement, monitoring mental health disorders). The successful
-
IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Sete, Languedoc Roussillon | France | 12 days ago
influence on lagoon ecology. Deconvolving the effects linked to trophic variables from those linked to climate change is also a scientific challenge, for which AI techniques (algorithms, machine learning
-
functional theory codes and/or machine learning algorithms will be an advantage, or hands-on experience in physics laboratories. - A good knowledge of English is required Main research field: Physics Sub
-
. Responsibilities Application of Domain Expertise: Maintain strong command of AI and machine learning concepts, including underlying science, math, and algorithms; stay current through reading publications, reviewing
-
oversee and develop algorithms for analyzing ensemble genomics data, single cell genomics data, single cell merFISH and sequential oligopaints imaging data, as well as novel molecular connectomics data
-
files for immediate access to your resume, you must apply to http://stanfordcareers.stanford.edu and in the key word search box, indicate Requisition #108558 A cover letter and resume are required
-
between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective
-
/adaptive algorithms, offline and online data analysis, conducting experimental research, and online evaluation of the developed adaptive strategies with a robotic application. The prospective students can
-
algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science professionals with a desire to
-
on campus. DCS teaches students to design, build, and analyze digital & computational tools and algorithms, while also developing the ability to critique those same tools and algorithms. Bates DCS faculty