102 python English-speaking jobs in North Rhine-Westphalia

Implement models and analytics in Python as part of a modern cloud-native stack (e.g. ... Strong Python skills and experience with the scientific stack (NumPy, pandas, SciPy, scikit-learn or

Strong foundation in software engineering principles and best practices Proficiency in Python and data

Detailed understanding of datasets relevant to the SEO ecosystem Basic proficiency in SQL and Python

Machine Learning Engineering, Data Engineering, or a related field Proficiency in production-level Python

cryogenic measurements Development of a microwave quantum control & readout stack Development of Python ... Knowledge of solid state physics and/or quantum information Experience with programming, preferably with Python

cellular and molecular biology, including histology and cell culture Familiarity with using R and/or Python

in magnetic resonance, biomedical imaging and biophysical modelling Programming skills (C++, Matlab, Python

innovative trends Previous experience in at least one object-oriented programming language, preferably Python ... sources (files, APIs, SQL, ...) with the software "Alteryx Designer" and the programming language Python

Implement models and analytics in Python as part of a modern cloud-native stack (e.g. ... Strong Python skills and experience with the scientific stack (NumPy, pandas, SciPy, scikit-learn or

Python/SQL or willingness to learn. Strong communication skills; thrives under pressure.

. - In your new role, you analyze agricultural data using Python or R. - You combine field-specific crop ... work experience, international experience is an advantage - sound experience in programming with R or Python

Profile Strong proficiency in RTL design using SystemVerilog/VHDL, digital verification, and scripting (Python

Detailed understanding of datasets relevant to the SEO ecosystem Basic proficiency in SQL and Python

. - Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow) and familiarity with evaluation

. - Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow) and familiarity with evaluation

. - Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow) and familiarity with evaluation

high practical relevance, e.g. for the topics Classes, Software Design, Functional Programming and Python

Machine Learning Engineering, Data Engineering, or a related field Proficiency in production-level Python

prototyping (electronics, control, hydrogen systems) - Strong computational analysis skills, particularly in Python

. - Strong programming skills in languages such as Python or C++, and extensive experience with deep