Doctoral candidate

Vor 7 Tagen


Heidelberg, Deutschland institute for computational biomedicine Vollzeit

In a dynamic and multidisciplinary environment, the candidate will work on the development of novel methods for analysis of state-of-the-art spatially resolved candidate will explore the landscape of explainable machine-learning and optimization approaches and create novel approaches that can be applied in a clinical setting. The work will be motivated by problems arising from a range of translational applications, initially focusing on cancer research, and will be directly supported by data generated within the center. Either a degree in computer science, engineering sciences, physics or mathematics, or a degree in biological sciences or medicine with previous experience in computational workMotivated to work on challenging interdisciplinary project with biomedical relevanceStrong interest in learning and/ or knowledge of histo(patho)logy and cancer biologyExperience programming in R or PythonGood English communication skills Possibility of doctoratePossibility to publish scientifically is offered and supportedRegular team meetingsInterdisciplinary cooperation with local and international research networksAccess to high performance computing infrastructureCollectively agreed remuneration, attractive company pension scheme (VBL)30 days vacationSustainable travel: job ticketFamily-friendly working environment: cooperative arrangements for childcare, subsidy for child vacation care, advice for employees with relatives in need of careWide range of health, prevention and sports offers


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    vor 4 Wochen


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