Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
datasets (SQL, Python, R) Develop reproducible data pipelines and perform statistical analyses Visualize trends and outcomes in patient data Collaborate closely with clinicians, statisticians, and IT
-
, and decision-making - Solid quantitative skills (R, Python, or STATA; ML experience is a plus) - High personal initiative, entrepreneurial mindset, extra-mile attitude, and willingness to thrive in a
-
be discoverable (F), accessible (A), interoperable (I), and reusable (R) for other researchers. The development of the FAIRagro infrastructures builds upon around fourteen scientific use cases, which
-
active learning is desirable, as well as knowledge of behavioral coding programs (e.g., Datavyu) and mastering of statistical methods and programming languages (e.g., R, Python). Experience with online
-
- Strong interest in research questions linked to marketing, management and psychology - Strong programming skills in C++, C#, OpenXR, Unity, Blender, Unreal Engine - Solid quantitative skills (R, Python
-
systems, software, and cloud services. Novatron employs around 130 professionals, including 60 engineers and scientists in R&D. https://novatron.fi/en/ More about Tampere and Finland: Application Procedure
-
, or a related discipline Interested in climatology/meteorology as well as quantitative methods Prior experience in programming is a plus (e.g., using R or Python) Good communication skills and a high
-
experience in remote sensing and programming is a plus (e.g., using QGIS or R) Good communication skills Ability to work in a team Your tasks You will conduct research on the use of remote sensing data
-
languages such as Python or R Ability to conduct independent scientific research Experience working with large datasets is an advantage Excellent communication skills in English (both written and spoken
-
with R, statistical and spatial analysis Excellent communication and teamwork skills Excellent organizational skills Experience with field work in post-disturbance forest conditions (desired) Experience