Sort by
Refine Your Search
-
Category
-
Field
-
with a background in Language Technology, Machine Learning, or Language Typology who are interested in automatic classification and analysis of hundreds of languages to undertake a PhD project exploring
-
Master’s degree in statistics, data science, machine learning, mathematical modeling, or similar area. Previous experience in working with Bayesian models and their computation and experience in ecological
-
learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted drug design” is led by Docent Juri Timonen
-
Grant, focusing on the development of novel deep learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted
-
Strong motivation to learn new methods and work independently, and as part of the team. Prior experience in one or several of the following: protein biochemistry, cell culture techniques, fluorescence
-
motivation to learn and adapt new skillsets, and readiness to work with diverse teams. Position details The doctoral researcher (PhD student) will be initially appointed for 2.5 years, on a fixed term
-
skills in English (oral and written) are essential, as are enthusiasm for the topic, strong motivation to learn and adapt new skillsets, and readiness to work with diverse teams. Position details