Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Norway
- Sweden
- United Kingdom
- Germany
- United Arab Emirates
- France
- Denmark
- Spain
- Netherlands
- China
- Hong Kong
- Portugal
- Australia
- Poland
- Romania
- Austria
- Canada
- Belgium
- Singapore
- Italy
- Lithuania
- Switzerland
- India
- Brazil
- Croatia
- Cyprus
- Czech
- Estonia
- Finland
- Ireland
- Japan
- Latvia
- Luxembourg
- New Zealand
- Slovenia
- 26 more »
- « less
-
Program
-
Field
-
grant focused on the intersection of artificial intelligence and nutrition (supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health
-
, behavior customization. Design and evaluation of interactions in real environments. It will be assessed: Have completed a master's degree in Artificial Intelligence and a degree in Computer Engineering
-
duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong programming skills. Strong background in machine
-
science » Autonomic computing Engineering » Maritime engineering Technology » Computer technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 25 Apr 2026 - 23:59 (Europe
-
Doctoral Program PhD in Engineering Good written and oral English language skills The candidate must commit to following and completing the courses selected for his/her PhD program. PLEASE NOTE: For detailed
-
therapeutics, wearables, artificial intelligence (AI) and machine learning (ML), public health surveillance systems, and virtual/augmented/extended reality. Health conditions of interest are also broad and may
-
, or Full Professor) in the following areas: Machine Creativity: Computer graphics, computer vision, robotics, etc. Machine-assisted Art Practice: Visual, sound, performing, installation, cinematic arts, etc
-
seeking a PhD candidate in computer architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators
-
artificial intelligence. Willingness to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Essential criteria PhD in computer science, artificial intelligence or related
-
master’s degree with academic qualifications in digital health, data analysis, and/or machine learning applied to health research. Admission to the PhD program requires a 120 ECTS master’s degree, including