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tasks will be: Plan and manage your PhD project in collaboration with supervisors Design and develop management and real-time operation tools for ePIPV Test controlling functionality in a state-of-the art
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transport Interest in travel behaviour and behavioural and attitudinal data Good communication skills in English, both written and orally Danish/Scandinavian language skills are preferable, but not compulsory
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, TensorFlow) and protein language models. Experience with programming (Python preferred) for bioinformatics or data science applications. Exposure to degradomics methods or post-translational modification
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programming languages such as C/C++, Python, Julia or similar. Experience with mathematical optimization software. Experience with machine learning packages. Excellent communication in English and interpersonal
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the research group Bioactives Analysis and Applications, and as part of the prestigious Alliance PhD program, you will collaborate with the Technical University of Munich (Germany). If you're ready to
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made through
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environmental challenges A genuine, long-term interest in pursuing an academic research career in sustainable and regenerative entrepreneurship Excellent written and oral communication skills in English (the
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) Programming experience (e.g., Python, Julia) Strong analytical thinking and problem-solving abilities Interest in power and energy systems Excellent English communication skills and a collaborative mindset to
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at large-scale facilities, e.g., synchrotrons Able to work independently in the laboratory Fluent spoken and writing English Creative problem solving and strategic thinking You must have the ability to work
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. You can communicate scientific topics clearly and effectively to both experts and non-specialists. Proficiency in English is required. You must be compliant with MSCA mobility rule: not have resided