Sort by
Refine Your Search
-
well as developing techniques to augment training data. In addition, the concept of "version control" will be examined to train machine learning models more efficiently. Currently, retraining large models can break
-
on topics regarding, electronics and signal processing, machine learning for the control of prostheses, and regulations for biomedical devices. Requirements LanguagesENGLISHLevelExcellent Additional
-
at least three years' experience in techniques for collecting and analyzing data from Social Media; Machine Learning algorithms, Big Data technologies and nosql databases, or possession of a PhD or PhD
-
colleagues in the development of a Machine Learning based prototype for a sea level EWS; Producing scientific papers based on the activities carried out during the project. Requirements Research
-
. Job Description The open research position is in the field of reinforcement learning for automated planning and scheduling. The STEP-RL project aims at using modern reinforcement learning techniques
-
Networks and Machine Learning, even if they will not be considered a prerequisite, they will be evaluated positively; Good programming skill (ad es. Fortran, C, C++, python); High level knowledge of oral and
-
and Social Media; • Machine Learning and Deep Learning algorithms; • Complex Network Analysis Tools; • Knowledge of programming languages such as Java, C++, Python c) knowledge of English
-
, machine learning or Satisfiability Modulo theories and their integration in real-world systems including robotic applications and flexible manufacturing environments interacting with humans. The candidate
-
takes a human-first approach that enables business users to have high value conversations with data, all in an easy to use intuitive platform. By combining data science, machine learning and
-
of hands-on experience in biostatistics, statistical genetics or machine learning applied to human population data; Fluency in English – HT is an international research institute; Preferred requirements