Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- Netherlands
- United Kingdom
- Norway
- Australia
- Sweden
- Switzerland
- France
- Denmark
- Spain
- Belgium
- Singapore
- Canada
- Portugal
- Austria
- Poland
- Finland
- Italy
- Luxembourg
- New Zealand
- China
- Hong Kong
- Mexico
- Saudi Arabia
- Slovenia
- Bahrain
- Croatia
- Czech
- Greece
- United Arab Emirates
- 21 more »
- « less
-
Program
-
Field
-
comfortable working with optics, fluidics, detectors, light sources or related laboratory hardware. You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW
-
methods, data mining, and machine learning methods. Documented shell script, R, Python, and C programming skills. Documented experience in big data analysis and computational tool/package development
-
Information Engineering Machine Learning and Data Science Embedded Systems and hardware-oriented development Modeling and simulation of complex systems Experience with Python, MATLAB, and/or C/C++ Strong
-
in Electrical or Mechanical Engineering, Computer Science, or a related subject. Proficiency in C++, Python, and ROS 2 is required. Strong scientific skills with proven excellence in real-life
-
To be qualified for the position, you must have an MSc degree in Electrical or Mechanical Engineering, Computer Science, or a related subject. Proficiency in C++, Python, and ROS 2 is required. Strong
-
the neurobiological foundations of language and auditory processing, with a particular focus on individual differences, multilingual and multiliterate experience, language aptitude, dyslexia, brain anatomy and
-
conjectures and intuitions proffered for the implications of new theories, providing general comparative-statics and calibration results, and working out examples and applications of models to different
-
research direction is the integration of strategic transport models, such as discrete choice modelling (DCM) with agent-based modelling (ABM), to examine potential transport behaviour under different
-
these methods across different crops to identify conserved patterns of stress resilience 4. Identify candidate genes associated with key agronomic traits related to resilience 5. Contribute to software and web
-
with scientific programming and quantitative data analysis, particularly in Python, is welcomed. Experience with droplet generation, thermal diagnostics, image processing, or automated experimental