Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Technical University of Munich
- BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
- Eindhoven University of Technology (TU/e)
- Luxembourg Institute of Science and Technology
- Max Planck Institutes
- Monash University
- NTNU - Norwegian University of Science and Technology
- Northeastern University London
- Umeå University
-
Field
-
risk scores. We are particularly interested in candidates with experience in the following areas: human genomics and statistical genetics bioinformatics and computational biology multi-omic data analysis
-
-sample guarantees. Quantum statistical modeling: use of quantum relative entropy, Fisher information, and variational quantum circuits for practical implementations. Causal and information-theoretic
-
. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming
-
characterization, o microscopy and metallurgy, o (micro-)mechanical testing, in-situ testing and digital image correlation, o numerical analysis of experimental data. We look forward to receiving your application
-
Computer Science, Data Analysis, Software Engineering, Physics, Mathematics or related disciplines with a strong academic record. Strong programming skills, preferably in Python, and experience developing non
-
projects in at least one of the following areas: machine learning, NLP/LLM, data analysis, software development, or medical data processing Willingness to familiarize yourself with medical standards, data
-
8 Jul 2026 Job Information Organisation/Company Luxembourg Institute of Science and Technology Research Field Environmental science Researcher Profile First Stage Researcher (R1) Positions PhD
-
three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the
-
experimental molecular biology and data analysis. Doctoral candidates can specialize in genomic and molecular biology techniques, as well as in algorithms, statistics, and artificial intelligence for molecular
-
will also consider other quantitative disciplines such as data science, mathematical statistics, actuarial science, or public health or psychology with strong statistical training. For full information