Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Lulea University of Technology
- Umeå University
- Luleå University of Technology
- Lunds universitet
- Nature Careers
- KTH Royal Institute of Technology
- Linköping University
- Mälardalen University
- SciLifeLab
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Umeå universitet stipendiemodul
- 4 more »
- « less
-
Field
-
. Experience with basic mathematical principles and their application in modelling. Familiarity with programming languages such as Matlab or Python . Given the interdisciplinary nature of the project, a strong
-
experience of application of artificial intelligence including machine learning and deep learning algorithms. Documented programming skills in Python, R, or MATLAB. Very good knowledge of English, spoken and
-
, the following are also required: Documented experience of application of artificial intelligence including machine learning and deep learning algorithms. Documented programming skills in Python, R, or MATLAB
-
than the time at which the appointment decision is made. We are seeking a candidate with outstanding skills in applied mathematics. Proficient programming skills is essential, ideally in Matlab and
-
CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm
-
field. Applicants should have a basic understanding of fluid mechanics and mass transfer, and an interest in applying this knowledge to practical environmental challenges. Familiarity with MATLAB
-
qualifications Documented experience with data analysis and programming (e.g., Matlab, Python or R). Experience of risk assessment and/or decision analysis Experience of probabilistic methods such as Monte Carlo
-
qualifications Marine biogeochemical processes Hydrodynamic processes related to ships, turbulence, or mixing Oceanographic modelling Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary
-
++, ROS, Matlab, etc.). You should have a strong vision to evaluate and demonstrate the research findings in real life operating conditions, in an approach to close the gap between pure theory and
-
on: Technical Expertise: Documented skills in Python, Matlab, R, and a strong working knowledge of UNIX environments. Proven familiarity with biological omics data analysis techniques is essential, along with any