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have: A completed university degree (Master or equivalent) in data science, computer science, mathematics, materials science, physics or a related subject (or comparable proven experiences) Practical
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to educational events, such as university lectures, JSC courses and hackathons. Your Profile: Excellent Master in Computer Science, Mathematics, or Physical Science, Very good knowledge and proven skills with
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publish results at national and international conferences and peer reviewed journals Your Profile: Masters degree in bioengineering, environmental sciences or applied mathematics Knowledge of plant and soil
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of quantum physics and interest in quantum technology Strong mathematical education, in particular, in relation to linear algebra Strong programming experience Ability to effectively communicate in written and
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interdisciplinary approach combines fundamental analysis, experimentation, and mathematical modeling to create a flexible bio-separation platform. A cohort of 12 doctoral candidates will be trained and experience
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(Masters) in Electrical Engineering, Mechanical Engineering, Electronic Engineering, Physics or a comparable field Strong mathematical background Excellent knowledge and experience in programming (e.g
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interdisciplinary approach combines fundamental analysis, experimentation, and mathematical modeling to create a flexible bioseparation platform. A cohort of 12 doctoral candidates will be trained and experience
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/DL communities, most importantly helmholtz.ai, the Helmholtz Artificial Intelligence Cooperation Unit: https://www.helmholtz.ai Presenting research results at scientific meetings, conferences, and as
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in working closely with experimentalists Detailed knowledge of quantum physics and experience with quantum technology Strong mathematical education, in particular in relation to linear algebra Strong