Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
polarization states. • Data Analysis & ML: Develop Python/MATLAB machine learning algorithms to map photocurrents to full Stokes parameters, targeting a reconstruction error of \(<1\%\). Required
-
reports. Job Requirements: PhD in Physics, Applied Physics, Plasma Physics, or related field. Demonstrated experience in scientific computing and numerical modelling (e.g., Python/C/C++/Fortran). Experience
-
Vision Language Models (LVLMs). Experience in physics-based 3D modelling would be an advantage. Proficient in Python and PyTorch, with familiarity in C/C++. Strong oral and written communication skills in
-
skills in Python and modern AI frameworks (e.g., PyTorch, Hugging Face). Ability to work independently and collaborate across multidisciplinary teams. Strong publication record in top-tier AI conferences
-
publication records in reputable journals/conferences Strong programming skills in Python and modern AI frameworks (e.g., PyTorch, Hugging Face). Ability to work independently and collaborate across
-
discipline. Strong background in machine learning, deep learning, and large language models. Experience working with large-scale datasets and distributed model training. Strong programming skills in Python
-
modeling. Proficiency in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow. Experience handling large geospatial, atmospheric, or remote sensing datasets is preferred. Strong
-
, Electrical Engineering, or a related field. Strong foundations in machine learning, deep learning, computer vision, and at least one of 3D/4D vision, reinforcement learning, or robotics. Proficiency in Python
-
knowledge of Python and NLP concepts is a must. Experience with LLM Inference frameworks (i.e., Ollama or vLLM) is a must. Experience with Generative AI and LLMs (i.e., Llama, Gemma, Qwen, etc) is a must
-
statistical/computational analysis (e.g. R, Python, ELAN); Strong written and oral communication skills; Ability to work independently and collaboratively across disciplines. We regret to inform that only