Opportunity 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 qualified in relevant subject area *
2. Expertise and experience of scientific research (documented by scientific publications or other academic/industrial achievements) in the aggregation/fusion of heterogeneous data for machine learning, deep learning and reinforcement learning
3. Expertise and experience of scientific research (documented by scientific publications or other academic/industrial achievements) in developing/using AI methods for data mining, classification, regression and forecasting, in particular starting from heterogeneous data
4. Expertise and experience of scientific research (documented by scientific publications or other academic/industrial achievements) in developing/using AI methods for sequential data analysis, in particular using: recurrent NNs, LSTM, seq2seq, transformers
5. Expertise and experience ...
To be successful in this role, we are looking for candidates to have the following skills and experience: **Essential criteria** 1. PhD qualified in relevant subject area *
2. Expertise and experience of scientific research (documented by scientific publications or other academic/industrial achievements) in the aggregation/fusion of heterogeneous data for machine learning, deep learning and reinforcement learning
3. Expertise and experience of scientific research (documented by scientific publications or other academic/industrial achievements) in developing/using AI methods for data mining, classification, regression and forecasting, in particular starting from heterogeneous data
4. Expertise and experience of scientific research (documented by scientific publications or other academic/industrial achievements) in developing/using AI methods for sequential data analysis, in particular using: recurrent NNs, LSTM, seq2seq, transformers
5. Expertise and experience ...
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