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to candidates with knowledge/experience in: • Data processing and analysis technologies. • Familiarity with Multi-Objective Intelligent Optimisation algorithms (e.g., NSGA-II). • Python programming languages
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Micromachining, microfabrication methods Data analysis and simulation in Python, MATLAB, Mathematica, COMSOL or related software. The application must include a motivation letter explaining how the candidate’s
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of radiation interaction with matter, dosimetry, and radiobiology. Programming experience with C++ or Python. Experience using Monte Carlo simulation programs such as Geant4 and Geant4-DNA, or TOPAS and TOPAS
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in the development of APIs. Knowledge in the Python programming language. Fluency in English (written and spoken). Preferential factors: Experience in the Python programming language. Knowledge in API
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of computational methods developed in Python and/or Matlab; Development of project documentation, reports and scientific communication. III - Remuneration positioning: The definition of the position is based
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and genetic engineering. Python experience. Enrolled in a Master programme in Data Science Engineering EVALUATION CRITERIA The selection will be based on the following criteria: 20% Motivation Letter
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experience. Biomedical background, understanding of fundamental molecular basics and genetic engineering. Python experience. EVALUATION CRITERIA The selection will be based on the following criteria: 20
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | 7 days ago
and Python. * “Courses not conferring an academic degree” must be related to the research fellowship’s activity type. “Courses not conferring an academic degree” are the courses referred to in paragraph
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6. of this Notice. Preferred factors: Knowledge in machine learning and programming (Python), deep learning (e.g., tensorflow, pytorch) and time-series modeling in marine ecology applications
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(twice for 3 months each). Your Profile MSc (or equivalent) in Artificial Intelligence, Robotics, Computer Science, Electrical/Computer Engineering, or related fields. Strong skills in programming (Python