43 python-"Multiple" "NTNU Norwegian University of Science and Technology" PhD positions in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Curtin University
- University of Adelaide
- Monash University
- La Trobe University
- University of Southern Queensland
- CSIRO
- Queensland University of Technology
- Swinburne University of Technology
- Flinders University
- Murdoch University
- Nature Careers
- The University of Newcastle
- University of Melbourne
- 3 more »
- « less
-
Field
-
-hazard resilient sustainable modular structures. New modular connections will be developed and structural response of hybrid modular structure to multiple hazards including impact, blast, wind and
-
, problem-solving and project management skills. Candidates with strong quantitative skills, including familiarity with python and astronomy are desired for this project. Must be eligible to enrol in PhD
-
developing scientific software (using any of these languages/libraries: Python, Julia, C++, C, Fortran, Matlab, Fenics/FeniX, MFem, deal.II, libMesh, PETSc, Trilinos, Pytorch, TensorFlow, Jax, Keras, Pandas
-
skilled human operators must acquire and integrate information from multiple distributed sources (e.g., physical and informational environments) to coordinate cognitively (e.g., decision-making) and
-
essential. Excellent organisation and problem solving skills are expected and experience in data wrangling, processing and visualisation using R or Python would be advantageous but not essential
-
with Python or C. Solid understanding of linear algebra, calculus, and probability theory. Strong background in machine learning and deep learning is highly preferred. The ideal candidate will have
-
et al., 2020). It provides a single-session, universal intervention delivered to between 10 and 200 individuals at a time, and it contrasts with other online programs that are formed from multiple
-
within a species, going beyond the limitations of single-reference genomes. By integrating multiple genomes from different individuals or populations, pangenomes can provide a more comprehensive
-
analyse qualitative and quantitative data on self-compassion from participants in multiple cultural contexts. 3. Examine the relationship between self-compassion, self-esteem, and positive self-regards in
-
for this project. The supervisors have contacts with multiple potential internship organisations, depending on the student interests. Student type Future Students Faculties and centres Faculty of Health Sciences