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Field
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concepts of designing and operating radio frequency (RF) amplifiers, with emphasis on wide bandwidth applications, accompanied by a study on the use of a RF circuit simulation tool. Next, a summary of the
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for applications for one (1) research grant for students enrolled in a master's degree or non-degree course, within the scope of the “Knowledge Circle 2.0” project, with operation code COMPETE2030-FEDER-01459200
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, computer engineering, applied mathematics, civil engineering, environmental engineering, or related areas. Knowledge of Python, data processing, analysis, and visualization, time series processing, and
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 days ago
profile # University degree (Master’s or Diploma) in Materials Science, Physics, Materials Engineering, Nuclear Engineering, or a related field # Solid knowledge of materials characterization, particularly
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 3 days ago
field # Knowledge of dynamical systems and network theory # Previous knowledge of pattern formation theory and of Bayesian inference methods is a plus # Previous programming experience in Python is
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, up to the stage of contracting the scholarship, and before that, they may be replaced by a declaration of honor. Specific Requirements Preferential factors: Proficiency in English, and good knowledge
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-degree courses Preferred Factors: Experience in fieldwork Experience in socio-ecological approaches Ability to connect and collect ecological and socioeconomic data Knowledge of agroforestry systems
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● Friendly and flexible work environment, ● Sharing knowledge and experience, ● Flexible working hours, ● Diverse and inclusive culture where mutual support, team work and respect are highly valued, Where
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. Note: Candidates must be fluent and present good communication skills in Portuguese and English languages. Knowledge on Geographic Information System software is not mandatory, but will be valued. V
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command of English (min. B2). Preferred: • Experience in C and data engineering; • Previous experience in database development and/or maintenance; • Knowledge of Large Language Models (LLMs) applied to data