AI-driven predictive modeling PostDoc positions and fellowships

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3,150 PostDoc Positions Found

Phd In Data-Driven Multi-Energy Optimization

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Postdoctoral Research Position In Ai-Driven Survival Modeling

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Funded Phd Or Postdoc In Thermal Engineering At Alliance University

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Diffusion Models For Chaotic Differential Equations

University of Dundee

diffusion models

climate science applications

Navier-Stokes equations

chaotic differential equations

AI-driven solvers

This PhD project explores using diffusion models—a machine learning technique—to solve chaotic differential equations in fluid dynamics and nonlinear systems. It combines AI with numerical methods to address turbulence and high-dimensional complexity. Candidates need a strong math background, programming skills (Python), and interest in machine learning. Supervised by Dr. Parker and Dr. Hall at the University of Dundee, the work bridges AI, dynamical systems, and scientific computing with applications in climate science.

30 Sep 2026

Phd

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Phd Advanced Fft-Based Crystal Plasticity

Arts et Métiers ParisTech

Position

On-site

Salary

crystal plasticity

micromechanics

FFT-based simulation

Multimedia

microstructure modeling

This PhD position focuses on developing advanced mesoscopic crystal plasticity models incorporating internal length scales to capture microstructure-dependent plastic deformation mechanisms. The project combines experimental data from high-throughput techniques with numerical simulations implemented in AMITEX-FFT, aiming to create predictive tools for advanced structural materials.

29 Jun 2026

Expires soon

Phd

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Postdoctoral Fellowship In Physical Ai And Robotics

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Postdoctoral Researcher In Ai-Based Battery Thermal Management

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Postdoctoral Research Associate In Ai-Driven Ultrasound

Northeastern University

Position

Salary

AI-driven ultrasound

model-based machine learning

clinical imaging

Computer Science

physics-informed ML

The Postdoctoral Research Associate position at Northeastern University focuses on developing AI-driven ultrasound methods that combine model-based machine learning with physics-informed techniques to extract clinically relevant information from raw ultrasound signals. The role involves algorithm development, validation, and translation to real-world imaging applications, requiring a Ph.D. in a related quantitative field and strong research background.

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Industry-Academia Joint Ph.D. Program In Computational Biology

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Doctoral Researcher In Ai And Machine Learning For Biomedical Imaging

University of Luxembourg (Luxembourg)

Position

On-site

Salary

Biomedical Imaging

Predictive Modelling

Image Enhancement

Neurodegenerative Diseases

The Doctoral Researcher position in AI and Machine Learning for Biomedical Imaging at the University of Luxembourg focuses on developing cutting‑edge AI methods for biomedical image computing, including segmentation, detection, classification, predictive modelling, and enhancement, with applications to neurodegenerative diseases such as Alzheimer’s and Parkinson’s. The successful candidate will join the interdisciplinary Luxembourg Centre for Systems Biomedicine, work with Python, PyTorch, MONAI, and GPU‑enabled HPC, and contribute to a multicultural research team.

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Phd Position – Forest Treeline Management In The Swiss Alps

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Marie Curie Postdoctoral Fellow In Advanced Wireless Communications

University of Luxembourg

Fellowship

On-site

Grant Funded

Intelligent Open Radio Access Networks

Dynamic Spectrum Sharing

Joint Communication and Sensing

Non-Terrestrial Communication Systems

Beyond 5G Wireless Communication

The Marie Curie Postdoctoral Fellowship in Advanced Wireless Communications at the University of Luxembourg’s Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites candidates to conduct cutting‑edge research on beyond‑5G/6G systems, non‑terrestrial networks, intelligent O‑RAN, dynamic spectrum sharing, reconfigurable intelligent surfaces, joint communication and sensing, and ML/AI‑driven network optimization. The position offers a competitive salary, full‑time contract, and the opportunity to collaborate with leading experts Prof. Symeon Chatzinotas and Prof. Eva Lagunas while contributing to proposal writing and PhD student supervision.

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Phd Graduate Research Assistantship In Flood Modeling And Management

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Postdoctoral Researcher Ai Smart Aquaculture

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Designing Smart Space Structures For Extreme Environments

University of Southampton

Position

On-site

Fully Funded

regolith-resilient

Nonlinear Dynamics

Topology Optimisation

Space Structures

AI-Based Control

This PhD project develops AI-driven predictive and control methods for nonlinear, regolith-resilient space mechanisms in collaboration with ESA. Focusing on structural dynamics and topology optimisation, it creates lightweight intelligent structures for extreme environments like lunar dust and orbital debris. Candidates will combine analytical modeling, numerical simulation, and experimental validation using Southampton's advanced facilities while receiving specialized training in machine learning and control systems for aerospace applications.

30 Sep 2026

Phd

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