Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- United Kingdom
- France
- Spain
- Sweden
- Netherlands
- Portugal
- Singapore
- Norway
- Belgium
- Denmark
- Poland
- Austria
- Australia
- Switzerland
- United Arab Emirates
- Finland
- Czech
- Canada
- Italy
- Luxembourg
- Ireland
- Morocco
- Romania
- Hong Kong
- China
- Brazil
- Estonia
- Cyprus
- Lithuania
- Japan
- Latvia
- Malta
- New Zealand
- Bulgaria
- Croatia
- Kuwait
- Andorra
- Europe
- Greece
- Iceland
- India
- Kenya
- Slovakia
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Mathematics
- Business
- Materials Science
- Environment
- Chemistry
- Earth Sciences
- Psychology
- Humanities
- Electrical Engineering
- Linguistics
- Arts and Literature
- Physics
- Education
- Social Sciences
- Law
- Sports and Recreation
- Design
- Philosophy
- Statistics
- 15 more »
- « less
-
(preferably in R, Python, GIS) • Competences in quantitative research methods - ideally knowledge of several of the following aspects of quantitative data analysis: analysis of large/longitudinal datasets
-
. Certifications/Licenses Required Knowledge, Skills, and Abilities This position requires advanced statistical analysis skills, including expertise with Stata or R software, and familiarity with Python. Knowledge
-
are experimentally driven and supported by COMMLab, 6GSPACE Lab, HybridNetLab, QCILab, TelecomAI Lab, CSAT Lab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snt
-
(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts
-
analysis is expected; familiarity with scientific programming environments (e.g. Python, R, or similar) is highly desirable interest in policy-relevant science and sustainability frameworks strong motivation
-
related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in
-
analysis is expected; familiarity with scientific programming environments (e.g. Python, R, or similar) is highly desirable Interest in policy-relevant science and sustainability frameworks Strong motivation
-
(http://www.hogberglab.net/ ). You will contribute to the Dura-store project that is a part of the European Innovation Council’s Pathfinder Challenge for DNA-based digital data storage, aiming to use bio
-
(e.g., knowledge of principles and procedures related to field and area) Demonstrated proficiency in coding, robotics, and engineering design (e.g., Python, MATLAB, Arduino, C++ or similar). Other
-
Desirable skills: Experience with organoids or assembloids Familiarity with omics approaches such as scRNA-seq, proteomics Programming or data analysis skills such as R, Python, or similar Experience in