10 programming-languages-"the"-"CNRS"-"U"-"UCL"-"O.P"-"U.S"-"IDAEA-CSIC" Fellowship positions at University of Adelaide
Sort by
Refine Your Search
- 
                Listed
- 
                Category
- 
                Field
- 
                
                
                . These include mathematical analysis, numerical simulations, computational and data science approaches, natural language processing, etc. Depending on the specific findings, research outputs are targeted 
- 
                
                
                consultation. Commitment to equity, diversity, and inclusion, with the ability to contribute positively to a diverse academic community. DESIRED CHARACTERISTICS Proficiency in at least one programming language 
- 
                
                
                , monitoring workflow and in managing resources to meet objectives, timelines and deadlines. Excellent oral and written English language skills and a demonstrated ability to communicate and interact effectively 
- 
                
                
                : A PhD in Mathematics, Computer Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural 
- 
                
                
                experience in machine learning research and development, particularly with a specialisation in such areas as: digital forensics, computer vision, biometrics (face or voice recognition, etc.) and natural language 
- 
                
                
                government and industries in South Australia, and overseeing Centre performance. The appointee will also be supported to establish and build a dynamic research program in machine learning or artificial 
- 
                
                
                This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong 
- 
                
                
                management and programming languages such as R and Python. Level B Essential Criteria: A PhD in entomology or a related discipline, with at least 3 years of postdoctoral experience. A strong track record in 
- 
                
                
                PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong 
- 
                
                
                peer-reviewed literature An interest in global change ecology, macroecology, biogeography, or conservation biology Strong computational and analytical programming skills A good knowledge of advanced