Job Description
# About You
To be successful in this role, we are looking for candidates to have the following skills and experience: **Essential criteria** 1. PhD in a relevant discipline (computational toxicology, cheminformatics, data science, bioinformatics, or related field)
2. Demonstrated experience in developing and applying AI/ML models for toxicological applications
3. Proficiency in Python and relevant scientific libraries (e.g. PyTorch, TensorFlow, RDKit, scikit-learn)
4. Experience with QSAR modelling and cheminformatics approaches for chemical property or toxicity prediction
5. Strong quantitative and statistical skills, including Bayesian approaches
6. Evidence of scientific publication or manuscript preparation
7. Ability to work independently and collaboratively within multi-partner projects **Desirable criteria** 1. Experience with mixture toxicology modelling
2. Experience with multi-level data integration
3. Knowledge of environmental or regulatory toxico...
To be successful in this role, we are looking for candidates to have the following skills and experience: **Essential criteria** 1. PhD in a relevant discipline (computational toxicology, cheminformatics, data science, bioinformatics, or related field)
2. Demonstrated experience in developing and applying AI/ML models for toxicological applications
3. Proficiency in Python and relevant scientific libraries (e.g. PyTorch, TensorFlow, RDKit, scikit-learn)
4. Experience with QSAR modelling and cheminformatics approaches for chemical property or toxicity prediction
5. Strong quantitative and statistical skills, including Bayesian approaches
6. Evidence of scientific publication or manuscript preparation
7. Ability to work independently and collaboratively within multi-partner projects **Desirable criteria** 1. Experience with mixture toxicology modelling
2. Experience with multi-level data integration
3. Knowledge of environmental or regulatory toxico...