Sort by
Refine Your Search
-
Listed
-
Country
- United States
- France
- Germany
- United Kingdom
- Sweden
- Spain
- Singapore
- Austria
- Belgium
- Poland
- Australia
- Netherlands
- Denmark
- Canada
- Italy
- United Arab Emirates
- Portugal
- Ireland
- Luxembourg
- Czech
- Finland
- Cyprus
- Switzerland
- Hong Kong
- China
- Lithuania
- Romania
- Bulgaria
- Latvia
- Malta
- Morocco
- New Zealand
- Andorra
- Croatia
- Europe
- Greece
- India
- Japan
- Slovakia
- Worldwide
- 30 more »
- « less
-
Field
- Computer Science
- Engineering
- Economics
- Biology
- Medical Sciences
- Business
- Science
- Mathematics
- Environment
- Materials Science
- Chemistry
- Psychology
- Humanities
- Earth Sciences
- Education
- Electrical Engineering
- Linguistics
- Arts and Literature
- Social Sciences
- Physics
- Law
- Philosophy
- Sports and Recreation
- Statistics
- 14 more »
- « less
-
but related lines of research: 1/ Investigate wavefront sensing measurements with Color-filter arrays (CFA) detectors. The PhD student will perform python simulations based on Fourier optics to combine
-
of both qualitative and quantitative research methodologies Desirable Experience with software packages such as Python, R, Stata, NVivo Skills &Competencies Essential Applicants whose first language is not
-
software such as OpenSees and SAP2000 is preferred. Programming skills in MATLAB or Python are desirable. All applicants must have valid GRE scores and satisfactory GPA. International applicants must provide
-
Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing
-
fluency in at least one programming language (e.g. Python, R, or similar). Background in cancer biology preferred Problem Solving Works with a team to troubleshoot computational analysis Decision Making
-
tables, and modeling. Ability to develop clear and complex visualizations Technical Proficiency: Prior experience with SQL, QlikView, MS Power BI, R, or Python is highly preferred. Communication
-
will use programming and computational tools (including Python, MATLAB, and related libraries) to develop, test, and evaluate machine learning models; review, proofread, and execute formal mathematical
-
present. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python skills, preferably some
-
various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). Example projects you will be working
-
Familiarity with use of Reference Managers Desirable Skills: Quantitative/Data Visualisation skills (Python?) Experience in data management Postgraduate or relevant research experience Works well within a team