Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical
-
related to staff position within a Research Infrastructure? No Offer Description PhD Position in Decentralized Resource-Constrained Machine Learning The Distributed Computing (DISCO) Group is a research
-
techniques in VLBI. The primary objective is to develop and apply novel strategies based on AI/machine learning (ML) to enhance VLBI data analysis and simulation. Specific tasks include: Designing and training
-
Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical
-
field A strong background and keen interest in uncertainty quantification, structural reliability, optimization, Bayesian inference, surrogate modeling/emulation, and/or machine learning Excellent
-
Excellent programming skills (preferably Matlab, or Python), and some experience in machine learning Strong analytical and problem-solving abilities Excellent communication and scientific writing skills, and
-
print Drucken Do you want to shape the future of AI-driven manufacturing? Are you eager to apply cutting-edge machine learning and optimization techniques to real-world industrial challenges? Join inspire
-
100%, Zurich, fixed-term The Chair of Space Geodesy invites applications for an exciting PhD opportunity focused on advancing research in satellite gravimetry for hydrology using machine learning
-
Profile PhD in Computer Science, Data Science, Machine Learning, Engineering, Biomedical Informatics, Bioengineering, or a related field Proficiency in python programming Strong expertise in machine
-
, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be