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can use and combine various cutting-edge data modes such as single-cell ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing. The candidate will get the opportunity
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-analytic review and to the evaluation of interventions, working closely with the research team to advance knowledge on evidence-based solutions. You will support the development of a research environment
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thesis project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer
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functional genomics approaches and omics data analyses. Expertise and interest in gene-regulatory mechanisms. Motivation and strong analytical and organizational skills. Strong communication and collaborative
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of CRISPR-based genome editing. Good communication skills, both oral and written. An analytical aptitude for devising innovative scientific or technical solutions. For further information, please contact
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, including personal contact information A complete and numbered list of publications Degree certificates (including documentation of master’s and PhD degree) Up to 3 scientific peer-reviewed publications
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domain as documented by a PhD dissertation and/or research publications A solid theoretical and analytical understanding of text culture, AI, and related fields Experience of empirical research methods
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understanding thermodynamic and structural aspects of non-crystalline phases. Excellent analytical and problem-solving skills, with the ability to interpret complex experimental data and draw meaningful
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well-organized, self-motivated, result-oriented and capable of working independently in a collaborative setting You have strong analytical communication and computer skills Proficiency in spoken and