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- Łukasiewicz Research Network – PORT Polish Center for Technology Development
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Field
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in bioinformatics, molecular biology, computer science, or a related field; Strong bioinformatics skills, including programming in a Linux environment (Bash, R, Python) and familiarity with commonly
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radiation range; Proven research experience in conducting computer simulations and designing optical systems, THz emitters, or detectors. Proficiency in the PYTHON or other programming environment
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emitters, or detectors. proficiency in the PYTHON or other programming environment. LanguagesENGLISHLevelGood LanguagesPOLISHLevelGood Research FieldPhysics » Solid state physicsPhysics » OpticsPhysics
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experiments in macrophages and carry out their quantitative analysis. The work will involve image processing, segmentation and tracking using Maestro and ShuttleTracker, complemented by Python-based analysis
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related to modeling and simulation of biological systems, 3) very good IT skills, in particular the ability to program in Python, 4) very good knowledge of machine learning methods, neural networks, and
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skills (Python / MATLAB / LabVIEW), laboratory experience (optical/biological) and/or knowledge of advanced data analysis methods will be an added advantage, fluent English, reliability, good work
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master’s degree in engineering, or an equivalent degree in geodesy, remote sensing, geoinformatics, or a related field; project requirements: proficiency in the Matlab and Python programming languages, and
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technologies in NLP, LLMs, and RAG. Programming skills in Python, including experience with machine learning libraries (e.g., PyTorch, Scikit-learn, Hugging Face Transformers) and development tools (e.g., Co
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technologies in NLP, LLMs, and RAG. Programming skills in Python, including experience with machine learning libraries (e.g., PyTorch, Scikit-learn, Hugging Face Transformers) and development tools (e.g., Co
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technologies in NLP, LLMs, and RAG. Programming skills in Python, including experience with machine learning libraries (e.g., PyTorch, Scikit-learn, Hugging Face Transformers) and development tools (e.g., Co