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Wyższa Szkoła Informatyki i Zarządzania/Univeristy of Information Technology and Management | Poland | 4 days ago
(Bachelor’s degree / Engineering degree), preferably in Computer Science, Management, or Economics Proficiency in Power BI and programming languages such as R and Python Strong analytical skills, with
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least 4 years of relevant professional experience. 2. High proficiency in R or Python, with at least a basic knowledge of both. 3. Familiarity with the Linux environment and command-line tools. 4
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mechanics) with data-driven techniques. • Proficiency in Python (NumPy, TensorFlow/PyTorch) and MATLAB. • Familiarity with deep learning architectures, particularly recurrent neural networks (e.g., LSTM) and
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skills in Python and experience with visualization data software considered an additional asset 2. Employment Conditions: • Recruitment for Assistant positions within project no. FENG.01.01-IP.01
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., MATLAB, Python) Understanding of thermodynamics and gas transport processes Ability to develop, implement, and test numerical algorithms Ability to work independently and collaboratively in a research team
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analysis methods in environmental research, programming skills in Python and JavaScript, ability to work in the Google Earth Engine environment, knowledge of machine learning methods and the ability to apply
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processing and analysis (e.g. using tools such as Matlab, Python and Labview). 4. Excellent communication skills in English (oral and written) and excellent presentation skills. 5. High
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to candidates with knowledge of data extraction and processing techniques (e.g., Python or R programming languages used in data analysis), tools for obtaining and processing data from digital platforms (e.g
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PID controllers; 8) proficiency in programming languages: C, C++, Python; 9) experience in conducting teaching activities in both Polish and English will be an additional advantage. Required documents
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for measurement data (preferred for plasma physics or HEP). Knowledge of Python, Matlab. Additional assets: Experience in laboratory work and knowledge of the principles of particle detectors and measurement