Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Eindhoven University of Technology (TU/e)
- University of Twente
- Utrecht University
- Delft University of Technology (TU Delft)
- University of Twente (UT)
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU)
- Leiden University
- University Medical Center Utrecht (UMC Utrecht)
- University of Nottingham
- Amsterdam UMC
- Babes-Bolyai University
- Consiglio Nazionale delle Ricerche
- DIFFER
- Leibniz
- Max Planck Institute for Sustainable Materials •
- Princess Máxima Center for Pediatric Oncology
- Radboud University
- University Medical Center Groningen
- University of Amsterdam (UvA); Published yesterday
- University of Münster •
- Wageningen University & Research
- 12 more »
- « less
-
Field
-
applicants should have a strong academic record with a solid background in Machine Learning. Knowledge of Vision-Language-Action models and Novel View Synthesis techniques is a strong plus. Good programming
-
to state-of-the art AI/machine-learning, from modelling to measuring emissions and climate effects, noise and noise propagation. Job requirements The PhD position is funded by the Horizon-Europe TUNED
-
, particularly MRI, medical physics or computational data analysis (Python/R/MATLAB, machine learning, or bioinformatics) is highly desirable. Interested candidates should send a CV to michael.chappell
-
physics or computational data analysis (Python/R/MATLAB, machine learning, or bioinformatics) is highly desirable. Interested candidates should send a CV to michael.chappell@nottingham.ac.uk . Applications
-
), biostatistics, machine learning, data science and research data management, and causal inference methods (Iris Pigeot, Marvin Wright, Vanessa Didelez), and etiologic and molecular epidemiology (Konrad Stopsack
-
Website https://www.academictransfer.com/en/jobs/358703/phd-in-scalable-safe-ai-for-sem… Requirements Specific Requirements A master’s degree AI, Machine Learning, Data Science, Computer Science or a
-
always held a central role in applied mathematics and, nowadays, its popularity has surged in fields traditionally focused on real-world applications, such as engineering, machine learning and imaging
-
sizes and frequencies by: Measuring rock fractures from UAV data using manual and automated mapping approaches (e.g., machine learning, convolutional neural networks). Monitoring physical weathering
-
mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High
-
Vacancies 2x PhD positions in the Mathematical Foundations of Machine Learning on Graphs and Networks Key takeaways The Discrete Mathematics and Mathematical Programming (DMMP) group