11 python-"CIPMM---Systemic-Neurophysiology" Postdoctoral research jobs in Luxembourg
Sort by
Refine Your Search
-
) Proficiency in scientific programming using Python, with experience in Matlab and/or R considered an asset. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX. Experience in
-
, problem solver, and programming skills for Python and Matlab are preferred Experience in similar environments with industrial collaborations or public-funded research projects is highly desirable Fluency in
-
flows, diffusion models). Hands-on experience in multi- and hyperspectral image processing (e.g., IDL/ENVI) and RTM inversion (e.g., ARTMO) Proficiency in scientific programming using Python, with
-
optimization, parameter optimization, or multi-objective optimization. · Strong programming skills (e.g. Python, C/C++, R or similar) and experience using scientific computing and optimization libraries
-
Biology, Data Science, or a related field. Technical Proficiency: Strong command of R. Knowledge of Python is an asset. Multi-Omics Expertise: Proven experience in the analysis and integration of diverse
-
advantage Experience with statistical analysis, regression, or uncertainty-aware modelling Proficiency in scientific programming, particularly in Python (experience with scientific computing and ML libraries
-
Desirable skills: Experience with organoids or assembloids Familiarity with omics approaches such as scRNA-seq, proteomics Programming or data analysis skills such as R, Python, or similar Experience in
-
Desirable skills: Experience with organoids or assembloids Familiarity with omics approaches such as scRNA-seq, proteomics Programming or data analysis skills such as R, Python, or similar Experience in
-
., ROS, Gazebo, Mujoco, IsaacSim-Gym-Lab Programming skills in C++, Python, and ROS framework We offer Multilingual and international character. Modern institution with a personal atmosphere. Staff coming
-
mathematical and algorithmic background, with the ability to design and analyse novel machine-learning methodologies Excellent programming skills in Python and familiarity with modern ML tooling and reproducible