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: Masters degree in bioengineering, environmental sciences or applied mathematics Knowledge of plant and soil sciences Mathematical modelling skills Ability to work independently as well as collaboratively in
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the other language Interest in abstract scientific applications Experience with some of the following: Qt, CMake, git; cross-platform development; numerical mathematics, condensed-matter physics, scattering
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the modelling pipeline Your Profile: A university degree (Master) with subsequent PhD in Applied Mathematics, Mathematical Biology, Computational Physics/Engineering or related fields with strong relation
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university degree (Master) with subsequent PhD in Applied Mathematics, Mathematical Biology, Computational Physics/Engineering or related fields with strong relation to scientific computing Recent experience
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, or mixed-signal circuits, including SPICE and related tools is strongly desired. For algorithms projects, a strong background in coding and advanced mathematics is strongly desired. Coursework in theoretical
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Computer Science, Mathematics, Physics Engineering or in a similar field. Alternatively an excellent masters degree with professional experience Very good knowledge and proven skills with larger deep learning
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in coding and advanced mathematics is strongly desired. Coursework in theoretical areas including computational complexity, information theory are desired. Excellent communication skills and ability
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international conferences and peer reviewed journals Your Profile: Masters degree in bioengineering, environmental sciences or applied mathematics Knowledge of plant and soil sciences Mathematical modelling
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science, mathematics, materials science, physics or a related subject (or comparable proven experiences) Practical experience in the area of data analysis, data mining and ML/DL demonstrated through, e.g., a thesis
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sciences or applied mathematics Knowledge of plant and soil sciences Mathematical modelling skills Experience in scientific computation Ability to work independently as well as collaboratively in