Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
publications Assist in supervising research students in the group Job Requirements: PhD degree in microbiology, bioinformatics, computational biology or a related field. Expertise in python, linux and HPC. Have
-
Python and MATLAB for data analysis, device modeling, and automation. Demonstrated publication track record in high-impact journals (e.g., Nature Photonics, Optica, ACS Photonics, or equivalent). Hands
-
-solving, and communication skills. Familiarity with programming (e.g., Python, MATLAB) and simulation tools (e.g., COMSOL). We regret to inform that only shortlisted candidates will be notified. Hiring
-
PhD qualification degree in Electronic Engineering or Computer Science Familiarity with pinching antennas and machine learning Good written and oral communication skills Proficiency in python
-
a reputable University Experience in sensing, condition monitoring or structural health monitoring Proficiency in basics of programming languages such as C, C++ and Python We regret to inform
-
reputable international venues). Experience in program analysis, intelligent software systems, or LLM-based code intelligence. Strong programming skills in Python and/or C/C++. Ability to work independently
-
Publication track record is an advantage Proficiency in basics of programming languages such as ROS and Python Excellent communication skills, written and verbal – able to communicate complex concepts clearly
-
students in the group Job Requirements: PhD degree in microbiology, bioinformatics, computational biology or a related field. Expertise in python, linux and HPC. Have experience in conducting wet-lab
-
(e.g., Python) and machine learning tools (e.g., PyTorch) Entry level candidates are welcome to apply We regret to inform you that only shortlisted candidates will be notified. Hiring Institution: NTU
-
or edge AI deployment. Strong programming skills in C, C++, and Python, with experience in deep learning frameworks such as PyTorch or TensorFlow. Familiarity with deployment constraints on cloud, edge