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data-driven modelling, particularly for chemical or process systems Experience with Python, or similar tools for data analysis and modelling Experience with mechanistic or kinetic modelling of
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expected to be computer science but related topic areas in the engineering or mathematics fields can be considered together with extensive experience in software development related to the above areas
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): Analysis of omics-data or other large-scale biomedical data types Machine-learning and statistical modelling Mechanistic models of biological systems Python, R or equivalent programming environment
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requirements include very good understanding of statistics and biomarker analyses and modelling, coding experience (Python/Matlab/R/Bash etc.), excellent written and spoken English skills, experience
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genomics are required. The candidate should have proficiency in R, python, or comparable programming languages. Experience of working with long-read sequencing data is a plus. The candidate should
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partners. Tasks and responsibilities You will conduct computational research involving Python programming and high-throughput protein structure prediction using high-performance computing infrastructure
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-genotype-environment association (GEA/EAA) or GWAS -programming in Python, with extensive experience working in Linux and multiple HPC environments. -population genomics across environmental gradients
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robots, or portable robotic platforms. Experience in programming and configuring control systems for automation and robotics, including relevant programming languages such as PLC, Python, C/C++, MATLAB
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portable robotic platforms Experience in programming and configuring control systems for automation and robotics, including relevant programming languages such as PLC, Python, C/C++, MATLAB, ROS, or
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collaborative in nature. A strong publication record in reputable peer-reviewed journals is highly desirable. Proficiency in programming, particularly in R, Python, or other relevant languages, is