Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
., MATLAB and Ansys) is a plus. Strong interest and willingness to learn experimental techniques for device fabrication and characterization. Experience with development of experimental setup. Proficiency in
-
written and spoken English. Fluent in a computer coding language (python or Matlab or C++ or etc). The Scientific environment We offer creative and stimulating working conditions in a dynamic and
-
possible. It is strictly required that you have experience with: Scientific programming, preferably in python and/or MATLAB and/or C++ Derivation and implementation of finite element methods (FEM) in code
-
Experience with VLSI design (Cadence tools, Verilog/VHDL, SPICE) Knowledge of neural networks and neuromorphic systems is a strong advantage Good programming skills (e.g., Python, MATLAB) and interest in
-
, preferably Reinforcement Learning (e.g., Q-learning, Deep Q-Networks) or other control algorithms. Proficiency in Python, MATLAB, or similar for data analysis, modeling, or AI implementation. Strong written
-
and fabrication. The ideal candidates have extensive experience with: Programming of IO boards (STM32, Pixhawk, BeagleBone, etc.) in different programming languages (C++, Python, etc.), MATLAB/Simulink
-
, urban or trade models. Proficiency in Stata. Knowledge of R, Matlab and/or Python. Prior experience in working with spatial data. Documented research track record at international level, including
-
qualifications and competences in accordance with level of appointment Ability to independently design, set up, and run experimental studies, including the relevant programming skills (e.g. Matlab) for doing so