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project focused on developing an advanced machine learning framework for spatio-temporal datasets. The position is for 2.5 years and is partially funded by the Dutch Research Council (NWO) through
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with deep learning to design van der Waals heterostructures with optimised spin-orbit torque (SOT) efficiency for ultra-low-power memory and computing. Its two pillars are AUTOMATA, an automatic material
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polymer durability or experience in the use of thermoanalytical methods and microscopy Very good knowledge of German and English (written and spoken) Ability to work in a team and willingness to cooperate
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research experience in immunology, vascular biology, and/or cancer biology Ability to work both independently and collaboratively Excellent written and spoken English skills A strong scientific publication
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an advantage Excellent communication skills in English, both written and spoken, with the ability to work effectively in an international research environment (at least B2 level according to the CEFR
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interest in contributing to both the conceptual and empirical dimensions of research Proficient in, or willing to learn, programming languages (e.g. MATLAB, Python, R) Experience with one or more of the
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be given the opportunity to copy over what they had previously submitted. All documents must be in English or include an official English translation. If you have questions before, during, or after you
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multiple applications in Zintellect, they must click the unique link in each email request, but will be given the opportunity to copy over what they had previously submitted. All documents must be in English
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of batteries or battery materials. This eligibility requirement must be met no later than the time the employment decision is made. Proficiency in written and spoken English, as this will be required
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, precision engineering or manufacturing metrology. This eligibility requirement must be fulfilled no later than the date on which the employment decision is made. Proficiency in written and spoken English, as