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Field
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sheet modelling demonstrated through a record of publications in scientific journals. Excellent programming skills (e.g. Python, MATLAB, Fortran) and ideally also experience in High-Performance Computing
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analysis of high-dimensional data (e.g., single-cell RNA-seq, phylogenetics, spatial data). Experience in R or Python. Application instructions: Please send a CV and a brief cover letter describing your
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to the proposed area of research. You should have experience in finite element modelling and data-driven multiphysics approaches. Fluency in Python, Fortran, MATLAB and/or C/C++ and prior work with common finite
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the selection committee, through posting on the bulletin board and the institution’s website Additional comments Topics: Qualitative and quantitative research skills; Data processing in R or Python
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the selection committee, through posting on the bulletin board and the institution’s website. Additional comments Topics: Qualitative and quantitative research skills; Data processing in R or Python
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applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems Interest in software development, with particular emphasis on the Python
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decision support systems. The candidate would also assist in writing python/R programming scripts to optimize processing time, making the current decision support systems more efficient and reliable
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, e.g. molecular biology, bioinformatics or related field Strong data analysis and coding skills in Python Experience with pediatric leukemias or precision oncology Experience with biological image
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: Relevant domain knowledge relating to cardiac electrophysiology Excellence in Python software development for scientific computing A strong knowledge and experience of database software including SQL Prior
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performance for data throughput and latency Extend functionality to interact with Python or REST APIs Interface with collaboration partners and participate actively in a collaborative work environment to turn