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- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
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replaced by a declaration of honor. Preferential factors: ● Previous experience with the P4 language and Named-Data Networking architecture. ● Ability to program in Python. ● Good knowledge of network
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
, continuously or with interruptions. OR a) To be enrolled at an integrated master or a master. b) Preference will be given to candidates with knowledge of Matlab and Python, and previous experience in the fields
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 2 months 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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analysis software (such as SPSS, R, or Python); - Knowledge about sustainable pratices in the food sector; - Proficiency in English (written and spoken); - Ability to work collaboratively in
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software (such as SPSS, R, or Python); - Knowledge about sustainable pratices in the food sector; - Proficiency in English (written and spoken); - Ability to work collaboratively in an interdisciplinary
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to the following weights and criteria: - Quality of the Curriculum: Knowledge of a variety of productivity tools and software (20%); Programming skills in Matlab, Unix, Python, or similar (20%); Research knowledge
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Engineering or related fields - with skills in R or Python programming and statistical modelling; - Other requirements: basic knowledge in eddy covariance and carbon and water cycles in Mediterranean agro-silvo
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
scientific questions # Proficient in scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab, SRIM/TRIM) # Basic knowledge of scientific data analysis and statistical evaluation # Good