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of religion. Methodologically, the project does not presuppose a modern concept of disability or healing and instead works with an actor-centered approach. The analysis is focused on intersections of dis
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relationships. You are motivated to acquire new skills and work in a multidisciplinary team. You have practical experience with experimental work and data analysis. You act with attention to quality, integrity
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mechanisms involving genetic, epigenetic and chromatin organisation factors governing the cell-type specific response to ARS mutations. Therefore, integrative genome-wide cis-regulatory network analysis
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will have a strong background in socio-technical threats and attacks, deception and social engineering, and security and cybersecurity metrics analysis (qualitative and quantitative). With a high
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-regulatory network analysis approaches, developed and employed in the Malysheva Lab, are required to reveal these mechanisms. With the proposed project we aim to bridge this gap in our knowledge of cis
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experience with scientific computing, data analysis, machine learning and/or AI You have an interest in environmental sustainability and pharmaceutical production Considered a plus: You have experience with
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appointment) in digital text analysis, digital humanities, linguistics and literature, applied linguistics, communication sciences, computer sciences or similar. You have a background and/or strong interest in
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. The agreement contains elements such as: form of degree, authorship for publications and intellectual property, jury composition, place of defense, tuition fee, etc. 2. Language English at level B2 is required
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critical, scientific mindset and are interested in proteomics technology and data analysis. You have basic knowledge of statistical tools. What we offer We offer a full-time PhD scholarship for a period of 1
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of contaminants is an asset; You have skills in statistical data analysis, and are keen on developing these skills further. Basic knowledge of R is an asset; You have experience in working with oligotrophic