Sort by
Refine Your Search
-
Country
-
Program
-
Employer
-
Field
-
-visible-spectrum reflectance). This project brings together statistical modelling of the data-generating process with machine learning, including deep learning, techniques, to model and predict bumblebee
-
Degree or equivalent Skills/Qualifications - Masters degree in biostatistics, epidemiology, public health or equivalent with good knowledge in statistics - Experience in statistical analyses using R
-
Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE) | Bonn, Nordrhein Westfalen | Germany | about 12 hours ago
and experience in one or more relevant programming languages (Python, R, Julia etc.) are important as well as a clear interest in the data sciences (AI, ML, statistics) per se. A strong background in AI
-
statistics and will have a background in psychology or a related discipline. They will be supervised by Dr Sam Farley, Dr Nicola Thomas, and Professor Jeremy Dawson from the Institute of Work Psychology
-
using ImageJ for image analyses and Prism for statistics and data plotting. Previous participation in academic research in this area is a must, as is strong communication skills in English as well as a
-
Department of Forest Resource Management The Department of Forest Resource Management conducts teaching and research in the areas of Forest Remote Sensing, Mathematical Statistics Applied to Forest
-
for this PhD position should have a solid understanding of data science and a keen interest in environmental applications. Basic knowledge of statistical analysis and some experience with machine learning and
-
an advantage. Quantitative analysis skills (e.g., statistics, network analysis, or modelling) or an ability and interest to develop these skills would be an advantage. How to apply To apply for this scholarship
-
strong candidates without postgraduate qualifications will also be considered. Experience conducting experimental studies with human participants. Good quantitative research skills including statistics
-
subject, including: health economics, decision science, biostatistics, statistics. The candidate must have knowledge of or be willing to learn health economic evaluation. A further qualification such as an