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del Sol, which develops computational models to address challenges in stem cell research, aging and disease modeling. The group employs methodologies from different areas of mathematics, engineering
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into consideration. We are looking for someone with a doctoral degree in computational physics, applied mathematics, computer science, bioinformatics, structural biology, or a related field. Documented experience in
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considered an advantage Solid conceptual understanding of transcriptional regulation, chromatin biology, and epigenetic mechanisms Experience with bioinformatic analysis of high-throughput sequencing data (e.g
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immune receptor sequencing Experience with bioinformatics is an advantage Fluent in spoken and written English Personal skills We are looking for a highly motivated candidate with an outstanding potential
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://www.hogberglab.net/ ). You will contribute to the ERC Advanced Grant project qScope , where you will create and improve existing bioinformatic tools and network algorithms to help us to map RNA or protein molecules in
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
accurately distinguish specific aphid-morphological traits (wings/no wings, estimated weight, different developmental stages and color differences, etc). Screen a pea collection for aphid resistance in
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, entrepreneurship and/or other activities supporting the applicant’s career development. Who we are looking for Requirements Doctoral degree in bioinformatics, biomedical engineering, computer science, image/signal
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accurately distinguish specific aphid-morphological traits (wings/no wings, estimated weight, different developmental stages and color differences, etc). Screen a pea collection for aphid resistance in
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innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and
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challenges in stem cell research, aging and disease modeling. The group employs methodologies from different areas of mathematics, engineering, and physics, and integrates multiple sources of biological