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elements (transposons). Transposon-based gene vectors are entering the mainstream for genetic manipulation of mammalian (including human) cells. On this basis, the group develops innovative, non-viral gene
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algorithms. You conduct the evaluation through benchmarking HPC application kernels (e.g. stencil-style codes, Sparse Matrix Vector Multiplication, Stream). The implementation and evaluation will be based
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volume of 3.0 billion euros. What you will do In the department of Insect Pest and Vector Control of the Fraunhofer Institute for Molecular Biology and Applied Ecology, Branch Bioresources (IME-BR), a
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/keras. You are skilled in a range or supervised and unsupervised ML models, for example: unsupervised clustering methods, multivariate linear regression, Random Forest, Gradient Boosting, Support Vector
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applications of transposable elements (transposons). Transposon-based gene vectors are entering the mainstream for genetic manipulation of mammalian (including human) cells. On this basis, the group develops
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(e.g., documented in transcripts, further training, or course work). Basic understanding of machine learning tools, word embeddings, support vector machines, LLMs, neural networks is a plus. Experience