Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- France
- Spain
- Netherlands
- Singapore
- Sweden
- Portugal
- Norway
- Poland
- Belgium
- Austria
- Australia
- Switzerland
- Finland
- Denmark
- Luxembourg
- Canada
- United Arab Emirates
- Italy
- China
- Ireland
- Hong Kong
- Romania
- Brazil
- Czech
- Morocco
- New Zealand
- Slovenia
- Cyprus
- Greece
- Japan
- South Africa
- Estonia
- Iceland
- India
- Bulgaria
- Croatia
- Saudi Arabia
- Slovakia
- Taiwan
- Worldwide
- 33 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Mathematics
- Chemistry
- Business
- Materials Science
- Earth Sciences
- Psychology
- Environment
- Electrical Engineering
- Humanities
- Arts and Literature
- Linguistics
- Education
- Law
- Physics
- Social Sciences
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
highly desirable. Proficiency in programming languages such as Python or C++. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and advanced data analysis tools. Excellent problem
-
related quantitative discipline. Strong programming skills in Python for scientific computing and reproducible research. (Optional) Experience in time-series analysis, with explicit attention to intraday
-
inference methods (e.g., fixed effects, IV, DiD) Advanced regression techniques - Strong programming and analytical skills (R, Stata, Python, Mplus, or similar). - Evidence of research productivity or strong
-
Proficiency in R and Python Experience with cancer genomics, single-cell RNA-seq and/or ATAC-seq analysis (strongly preferred) Ability to work independently as well as collaboratively in an interdisciplinary
-
independently. Able to work under pressure and meet deadlines. Key Competencies Proficient in Python or other equivalent programming languages. Strong foundation in data analytics and data-driven modelling. Able
-
methods for engineering applications Familiarity with engineering software such as ABAQUS, ETABS, MATLAB, Python, or equivalent will be an advantage. Prior experience in laboratory testing, data analysis
-
of digital media, AI, political communication and democracy; • Has a strong foundation in quantitative research methods and data analysis (e.g. SPSS, R, Python); • Is willing to further develop digital
-
and macroeconomic research; 4. Knowledge of computational environments or programming languages used for empirical research and structural modelling, such as R, STATA, Python, Matlab, and Dynare, with
-
. Experience with Adobe Creative Suite. Ability to connect to and manipulate MySQL relational databases. Knowledge of coding languages beyond PHP, such as C# and Python. Experience working in a diverse culture
-
Research Associate, Radiology and Imaging Services Posting Number req26573 Department Radiology & Imaging Sci Dept Department Website Link https://radiology.medicine.arizona.edu/ Location Tucson Campus