Sort by
Refine Your Search
-
scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data analysis is an advantage but is not required. We welcome applicants who
-
machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph representation learning. Programming skills (e.g., Python) and experience with deep learning
-
, data analysis and programming skills (e.g., R, python, matlab, etc). We seek candidates that are team players who can play active scientific and social roles in a diverse and international lab setting
-
advantage. The candidate should be comfortable with scientific programming, for example in Python and common machine-learning frameworks such as PyTorch or TensorFlow, and be motivated to combine
-
of large firm level datasets will be an advantage, but it is more important that you have experience with software tools such as Stata, SAS, R, or Python. You will also be able to shape your own
-
acquisition, equipment construction, machine learning, and image analysis. You master programming in for example Python, MATLAB, or a similar platform and you are motivated to further develop your
-
interest in AI, machine learning, and NLP. • Experience or education in health data science or a health-related field is a plus. • Strong programming skills in Python with the ability to
-
degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis or unsupervised learning is an advantage
-
programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental understanding of energy-conversion systems, thermodynamics, electrical engineering, heat and mass
-
learning, or digital methods (e.g., coding in Python/R, working with APIs, scraping data, building or applying models). • Can bridge theoretical insight with concrete technical implementation and