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Field
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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process, the role of ISOs passing through molecular clouds, taking part in molecular cloud collapse and disc formation. Your tasks in detail: Perform scientific work on the research topic, in collaboration
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, hematopoiesis, and immunobiology At least basic experience in bioinformatic analysis (bulk RNAseq, scRNAseq, proteome) Excellent teamwork and communication skills Solid experience with flow cytometry and
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA
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science, biostatistics, bioinformatics, epidemiology, public health or a closely related field, has an excellent academic record with a focus on quantitative methods and the ambition to earn a doctoral
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science, biostatistics, bioinformatics, epidemiology, public health or a closely related field, has an excellent academic record with a focus on quantitative methods and the ambition to earn a doctoral
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research consortium to study brain wiring that includes. : We are seeking an information theorist with an academic background in mathematics or bioinformatics and a specialization in information theory
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. The field has emerged in parallel with rapid technological improvements in computing, the spread of Internet and mobile technologies, and the increased digitalization of data and of people’s lives. Our group
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(m/f/d) in the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is
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scientific literature Data organization skills Preferable experience in the use of R and Excell Advantageous a background in bioinformatic metagenome analysis What we offer: Hands-on experience