Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- France
- Spain
- Sweden
- Netherlands
- Singapore
- Norway
- Denmark
- Portugal
- Poland
- Belgium
- Finland
- Italy
- Austria
- Ireland
- United Arab Emirates
- Luxembourg
- Switzerland
- Canada
- Hong Kong
- Czech
- Cyprus
- Estonia
- Australia
- China
- Morocco
- Romania
- Andorra
- Japan
- Latvia
- New Zealand
- 23 more »
- « less
-
Program
-
Field
-
an allied field. An MSc degree in a relevant area is desirable though not necessary. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning
-
. Experience in one or more scientific computing languages (Julia, Python, Matlab, etc) You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.edu/nv/phd) Good oral
-
-theoretic models is a plus; Proficiency in programming (e.g., Python, Matlab, C++); Strong interest in fundamental research on autonomous systems and decision-making. No prior knowledge of contextual radio
-
with RNA-based assays, spatial transcriptomics, cryosectioning, or histology Basic computational or data analysis skills (e.g., R, Python, ImageJ/Fiji, MATLAB) Experience with plant care, genotyping, and
-
. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem
-
students. Experience or training in relevant computational tools as are appropriate for the area of specialization (e.g. Python, R, MATLAB, SQL, etc.). Demonstrated potential for research in applied
-
vision insurance and a UC retirement plan. Salary is commensurate with the applicant’s qualifications and experience. Department: https://msi.ucsb.edu/ Qualifications Basic qualifications (required at time
-
. Qualifications and Experience BSc and MSc Degree in Computer Science or Computer Engineering, or relevant field; Strong computer programming skills (e.g., Python, Matlab) are a must; Proven data analysis skills
-
Engineering or relevant field; Strong computer programming skills (e.g., C/C++/Java/Python, Matlab) are a must; Strong background in Computational and/or Artificial Intelligence; Usage of Machine Learning and
-
different scientific backgrounds. Strong statistical and computer skills including demonstrated proficiency with computer coding, such as MATLAB, R, python, and expertise in statistical modelling. Experience