Sort by
Refine Your Search
-
Category
-
Employer
- INESC TEC
- University of Algarve
- FCiências.ID
- CCMAR – Centro de Ciências do Mar do Algarve
- Centro de Astrofisica da Universidade do Porto
- INESC ID
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa
- Instituto de Telecomunicações
- University of Aveiro
- University of Beira Interior
- University of Minho
- 2 more »
- « less
-
Field
-
Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 6 days ago
, including advanced statistics, spatial dispersion and concentration methods, Python and/or R programming, and/or Network Analyst (considered an asset); Experience in dashboard development and publication
-
surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in
-
languages such as Python/Matlab/C++, and knowledge-based skills on Electrical and Mechanical Systems. Priority would be given to candidates that possess relevant industry experience. Selection process
-
programming experience, preferably in Python. Familiarity with astronomical data analysis, photometry, spectroscopy, galaxy evolution, or the analysis and visualisation of scientific datasets will be considered
-
; - Programming knowledge in Python; Minimum requirements: Previous academic background in applied mathematics or computer science or informatics or electrical engineering or similar 5. EVALUATION OF APPLICATIONS
-
Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
will be carried out in INEGI or FEUP facilities in Porto. 4. Academic Qualifications: Master’s degree in mechanical engineering. Proficient knowledge of programming languages such as Python or others
-
: • Experience in Python; • Knowledge of optimization algorithms; • Knowledge of energy systems. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase
-
knowledge of machine learning models and Python tools for signal processing and machine learning. General knowledge of system architecture and APIs. Previous knowledge of physiological signal processing. 5
-
in applied optimization • Knowledge of digital twins • Experience in data analysis and visualization. Minimum requirements: • Experience in Python; • Knowledge of optimization algorithms; • Knowledge
-
building optical imaging systems; Experience developing acquisition/control software; Proficiency with optomechanical components; Programming experience in Python or C++. Non-compliance justifies exclusion