Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
-ence with machine learning, data analytics, big data handling and analysis, data engineering and management, and general competences in digitalization. You are familiar with Generative AI at theoretical
-
applicant: has a PhD degree in electrical, computer or biomedical engineering, computer science, data mining/machine learning, or a closely related area. has demonstrated the ability to perform independent
-
(more...) High Energy Physics / Machine Learning , Theoretical Particle Physics Fundamental Theory/Cosmology Appl Deadline: (posted 2025/01/20, updated 2025/01/19, listed until 2025/07/01) Position
-
DTU Tenure Track Assistant Professor in Nutrient-Focused Processing in Ultra-Processed Food Syste...
, bioactive compounds, and other key nutrients. Develop and apply machine learning and modeling techniques to analyse, predict, and optimize the effects of processing on food composition, food Ingredient
-
for Industrial Mechanics is located at SDU's beautiful campus in Sønderborg, in the inspiring building of Alsion, which is a center for science, culture and learning in the heart of Sønderborg and perched
-
Machine and Deep Learning – Applications and Case Studies in Business Artificial Intelligence and Generative Artificial Intelligence in Business Explainable AI (XAI) Ecommerce, Web and Social Media
-
Job Description If you have solid practical experience in embedded systems, computer engineering, or related areas — and are excited to teach, collaborate, and shape the next generation of engineers
-
, bioactive compounds, and other key nutrients. Develop and apply machine learning and modeling techniques to analyse, predict, and optimize the effects of processing on food composition, food Ingredient
-
tools (e.g., statistics, machine learning, optimisation, simulation) to healthcare delivery, healthcare operations and healthcare management as well as medical decision support. Your role is to build
-
decision support tools by integrating health data, domain knowledge, and machine learning. Key objectives include improving diagnosis, monitoring, and treatment through early detection of deterioration