Postdoc: Probabilistic ML for Chemical Toxicity

The International Society for Bayesian Analysis; Helsingin seutukunta; On-site; EUR 40,000 - 50,000; Full time

Job summary

A leading academic institution in Finland is seeking a Postdoc in Machine Learning to work on inferring chemical toxicity through innovative methods. The role offers an opportunity to collaborate with both academia and the pharmaceutical industry. Candidates should have a strong background in machine learning and a PhD. Responsibilities include developing new algorithms and publishing research findings in prestigious journals.

Qualifications

• PhD in machine learning or related field.
• Experience in developing algorithms for chemical toxicity inference.
• Strong publication record in peer-reviewed journals.

Responsibilities

• Develop probabilistic machine learning methods.
• Gain skills for success in the pharmaceutical industry.
• Publish work in top journals and conferences.

Skills

Machine learning expertise

Probabilistic methods

Research publication

Education

PhD in a relevant field

Job description

A leading academic institution in Finland is seeking a Postdoc in Machine Learning to work on inferring chemical toxicity through innovative methods. The role offers an opportunity to collaborate with both academia and the pharmaceutical industry. Candidates should have a strong background in machine learning and a PhD. Responsibilities include developing new algorithms and publishing research findings in prestigious journals.