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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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, 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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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
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completed scientific university (Master) studies in electrical engineering, informatics or comparable Strong mathematical background Knowledge and experience in programming (Python, C, C++) Knowledge of state
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about new scientific endeavors with interdisciplinary approaches. For this you have: A completed university degree (Master or equivalent) in data science, computer science, mathematics, materials science