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- Łukasiewicz Research Network - Institute of Microelectronics and Photonics
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Łukasiewicz Research Network - Institute of Microelectronics and Photonics | Poland | about 22 hours ago
the Research Group in ongoing research activities Where to apply Website https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID=32602fc84… Requirements Research FieldPhysics » ElectronicsEducation
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fibers and optical phenomena. 3. Experience in conducting research and disseminating results. 4. Experience in working in research teams. 5. Knowledge of the MATLAB, Python, PyTorch, or TensorFlow
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of Python, high level of English in reading (writing and speaking). 4. Knowledge about quantum resource theories (such as entanglement, Bell non-locality and quantum thermodynamics) highly appreciated. 5
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tools, knowledge about recent literature of the topic of the project. 3. Advanced skills in programming C++ or Python, high level of English in reading (writing and speaking), basic knowledge of other
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): experience in processing visual and sensor data, ability to automate data processing in distributed systems using AI methods, practical programming skills in Python, experience with the Unity3D environment and
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-Experience in particle physics phenomenology or related area - programming in C++ - programming in Python - fluent knowleage of English language Welcome: - experience in Monte Carlo methods and statistical
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-Experience in particle physics phenomenology or related area - programming in C++ - programming in Python - fluent knowleage of English language Welcome: - experience in Monte Carlo methods and statistical
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in Python and working in the Linux environment is required. The ability to work with large datasets and basic data management skills (GitHub) are also expected. The Candidate’s responsibilities will
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, basic familiarity with computational tools / programming (e.g. Python), and good command of English sufficient for reading and understanding scientific literature will be considered an advantage. Specific
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on the NCN website: https://projekty.ncn.gov.pl/opisy/620203-en.pdf The project is interdisciplinary, combining field studies, environmental observations, laboratory analyses, and computational data-processing