241 machine-learning "Mathematics" Fellowship positions

568: DLR-DAAD Postdoctoral Fellowship Nr. 568: PhD physics, mathematics, material sciences or similar (f/m/x) - Optimized Thermoelectric Materials design by digital twinning and machine learning

4 Apr 2024 Job Information Organisation/Company Deutsches Zentrum für Luft - und Raumfahrt (DLR) Research Field Technology Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Germany Application Deadline 7 Aug 2024 - 00:00 (UTC) Type of Contract To be...

Research Fellow (Seismic Modelling)

traveltime tomography + full waveform inversion) technologies to image the detailed near-surface subsurface structures from tens of meters to a few kilometers. In addition, machine learning techniques will be

Research Fellow (Machine Learning)

science, or applied mathematics and a strong publication record in machine learning. The candidate will work closely with Dr. Vincent Tan and will use the postdoctoral stint to develop a strong research profile that

Research Fellow (Computer Science and Engineering)

degree in computer science, software engineering, mathematics, or a related field. Strong background in multimodal learning, natural language processing, domain adaptation, and knowledge graph

Research Assistant in Machine Learning for Clinical Data Analysis - UK Dementia Research Institute

, Computer Science, Mathematics, or related disciplines with a focus on machine learning, deep learning, or data science. Proficiency in machine learning and computational modelling. Capable of developing and

Research Fellow (Information Theory, Statistical Signal Processing, and Machine Learning)

engineering, computer science, or applied mathematics and a strong publication record in machine learning. The candidate will work closely with Dr. Cheung Wang Chi Dr. Vincent Tan and will use the postdoctoral

Research Fellow I

oral and written English. Experience: Expertise in research in algorithm design and distributed network optimization using machine learning, stochastic modelling, optimization, management science, or

Research Fellow (Urban Mobility)

management. It is expected to deliver intelligent decision tools through reinforcement learning, simulation, and optimization techniques. Strong expertise in traffic simulation, mathematical programming, and

Postdoctoral Fellow in Optimization and Learning

, computer science, applied mathematics, or any related field. Candidates who have a strong analytical background in machine learning foundations, computer vision and perception, statistical learning theory

Research Fellow

learning or closely related field Prior experience in designing and training diffusion models A track-record of high-quality research in computer vision or machine learning First-author publications in