Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
programming experience with Python and/or Matlab Experience with advanced MEG/EEG signal processing and/or machine learning is desirable Strong interest in translational research and developmental neuroscience
-
, metamaterials, vibroacoustic and solid mechanics. 3. Proficiency in programming languages and environments such as Python, MATLAB, or C++. 4. Demonstrated expertise in inverse problem modelling and acoustic
-
, United States of America [map ] Subject Area: Physics / Quantum Optics Appl Deadline: 2026/02/15 11:59PM (posted 2026/01/16, listed until 2026/02/16) Position Description: Apply Position Description A Postdoctoral Fellow
-
of Large Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong
-
development, particularly in LabVIEW, C++ and Python programming for high-precision measurement systems. As a key member of our team, you will lead the development and optimization of our high-speed
-
, such as Python and C++ Self-driven, motivated, and creative in designing image analysis pipeline according to project requirements A good communication skills with a good command of written and spoken
-
languages such as Python or R. Experience with bioinformatics tools and software for data analysis (e.g. Seurat, SquidPy, Bioconductor). Strong understanding of statistical methods and data visualization
-
source and an infrared laser test bench. Script development in Python and C++ will be necessary to control ASIC parameters, to automate data collection and to record data for analysis (Python, ROOT). He
-
research experience in conducting experiments for field robotic systems Proficient programming experience in embedded, real-time software in C/C++ and Python with several years of practice Experience in
-
, Python or Bash programming languages) as well as experience in analysing sequencing data with cluster computing environments. Experience with molecular dating methods and nanopore sequencing is considered