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disciplines. For details please see the programme information for the Philipp Franz von Siebold Award. Programme information (PDF, 119 KB) List of award winners The sponsorship The award amount is €80,000
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code bases in a global open-source project High degree of self-organisation and independent working skills Very good written and spoken English skills Good communication skills Ability to work in a team
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' Code of Conduct. On average, one third of the students in our IMPRS programme are German, the rest are internationals. Special promotion / funding of the programme IMPRS Course-specific, integrated
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 23 hours ago
finally being admitted to the doctoral candidate list. The IMPRS CoNI aims to recruit and educate motivated, independent, self-organised and highly talented doctoral students who wish to extend
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candidates will be invited for a structured interview with predefined questions and a scoring system. Reserve List: A reserve list of top candidates may be created for future opportunities. Selection Committee
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outside-of-the-box. You will need strong coding skills (preferably Python, but also other software and hardware description languages) as well as experience with Machine Learning Frameworks (such as
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need strong coding skills, ideally in both modern C++ and Python, to design highly performant algorithms. Solid knowledge in the areas of logic synthesis, algorithmics, and optimization problems, as
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coding skills to design highly efficient algorithms. A focus in fabrication, and ideally interest (or even first lab experiences) in microfluidics is obviously a big advantage. Join our Team While we
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creative, passionate about research, driven by curiosity, and be able to think outside-of-the-box. You will need strong coding skills to design highly efficient algorithms. A focus in bio-chemistry or
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research, driven by curiosity, and be able to think outside-of-the-box. You will need strong coding skills, ideally in both modern C++ and Python, to design highly efficient algorithms. Interests (or even