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quantitative field) A strong interest in the biological determinants of health in aging/biological aging Solid analytical skills using statistical or programming software (e.g. R, Stata and/or Python) Excellent
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and spoken English skills We consider previous experience in data handling, statistical modelling and the statistical programme R as an advantage. Applicant must have a driver's license (B). We offer
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documented expertise in computational biology Proficiency in programming (such as Python, R, Bash) Experience with analysis of high-throughput omics data is required Knowledge of cancer biology is a strong
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to ongoing and future R&D and customer projects Engaging and collaborating with academic, RTO, and industrial partners Selecting, specifying, and procuring process tools and equipment Overseeing tool
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background in biology or (bio)medicine are welcome to apply, provided they have documented expertise in computational biology Proficiency in programming (such as Python, R, Bash) Experience with analysis
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an otherwise suitable candidate: Strong communication and interpersonal soft skills. Strong computational and analytical skills (relative fluency in R, Julia, Mathematica, bash, etc. is viewed positively
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programming skills (especially R) - good interpersonal, communication, and writing skills - ability to develop and pursue independent research questions - fluent English skills - willingness to visit
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experience • experience with physiological data (e.g., cardiac activity), motion capture, or biosignal analysis • experience with statistical software or programming tools (e.g., Julia, MATLAB, Python, R
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data processing, single-cell data processing, and Matlab, R, or Python, and scientific illustrations will be an advantage. Finally, the ideal applicant also has high proficiency in spoken and written
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ecology, and biodiversity research Motivation to work with complex ecological datasets and quantitative analyses Basic experience with statistical data analysis (e.g. in R) Interest in developing skills in