Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Munich
- UNIVERSIDAD POLITECNICA DE MADRID
- Brookhaven Lab
- Brookhaven National Laboratory
- Cornell University
- Edmund Mach Foundation
- Itä-Suomen yliopisto
- KINGS COLLEGE LONDON
- King's College London
- LIP - Laboratório de Instrumentação e Física Experimental de Partículas
- Lunds universitet
- MedUni Vienna
- National University of Singapore
- Nature Careers
- New York University
- Norwegian University of Life Sciences (NMBU)
- The University of Alabama
- The University of Newcastle
- Universidade de Coimbra
- University of California, Los Angeles
- University of Cambridge;
- University of Luxembourg
- University of Minnesota
- Université Grenoble Alpes
- 14 more »
- « less
-
Field
-
Machine Learning. Work plan: Review of the state of the art on Evolutionary Algorithms and image tampering detection; Implementation of an evolutionary algorithm for image tampering detection
-
, or erroneous data, Data cleaning and generation, Development of enhanced loss functions and information-theoretic methods for optimized data analysis, Machine learning-based image segmentation of tomographic
-
electromagnetic device performance analysis>>>Embedded SystemsResearch focuses on:•Robotics, computer vision, and machine learning/deep learning•Wearable and implantable sensors, biosensors, and tele
-
the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
-
knowledge, tools, methods and creative processes from design, humanities, social sciences, and physical sciences to address real-world challenges. Faculty and students conceptualize, prototype and evaluate
-
excellence through standard and customized omics data analysis, as well as to implement innovative machine learning, data integrative and multimodal solutions. The Center is located in the School of Medicine
-
for this position focused on machine learning (ML). This position offers a unique opportunity to conduct both basic and applied research in collaboration with Brookhaven Lab staff, the Department of Energy (DOE), and
-
results. You will join the Section for renewable energy and forest sciences and conduct cutting‑edge research using remotely sensed point‑cloud and image data to map forests. The position is part of two
-
, the selected researchers will deal with: Research & Development: Designing, developing, and implementing state-of-the-art machine vision and deep learning algorithms to analyze complex image and sensor data
-
positively valued: programming languages (Python, JavaScript), data analysis software techniques and tools, machine/deep learning (Pandas, SHAP , TensorFlow, etc.) and specific to image analysis, statistics