Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
experience in statistical analysis and implementing machine and deep learning models using Keras/TensorFlow and/or PyTorch. You have experience in collaborative coding, version control, and utilizing computer
-
broad and deep exposure to the AI research landscape, innovation ecosystems, academic-industry collaboration, and science policy. Associates gain hands-on experience in science strategy, research
-
to the eDIAMOND project’s goals (see Job description section above). Theoretical and practical experience and passion in at least one of the following topics: Machine Learning: Deep Learning, Federated Learning
-
-Cas gene editing Pooled CRISPR screens Preparation of deep sequencing libraries for functional genomics Targeted protein degradation and induced proximity therapeutics Protein quantification and
-
related field, has a deep knowledge of cell biology, demonstrated project management and communication skills, plus a keen interest in latest genomics technologies and their application in one of biology’s
-
Mathematics, Statistics, Physics, or other quantitative discipline Solid programming skills Fluency in both spoken and written English is mandatory Ideal Qualifications Experience with deep learning frameworks
-
eager to learn new science and technologies as well as contribute to the group through knowledge transfer of your expertise. We are interested in applications spanning fitness, sports, affective science
-
on great power competition and cooperation and the implications for European and transatlantic security. The ideal candidate will possess deep knowledge of global geopolitical developments and be able
-
design tools, finite element simulation tools, topology optimization tools, path planning and slicing tools, etc.); Experience with programming, preferably Python; Deep enthusiasm for conducting original