440 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"Prof"-"University-of-Stuttgart" positions in Denmark
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primarily be in Automation and Process Monitoring on the following program Bachelor of Science (BSc) in Engineering (Mechanical Engineering). This includes knowledge on, e.g., various perspectives and
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of applicants will be made by Assistant Professor Raphael Ferreira together
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throughout funding application processes, particularly by providing feedback and input for the business plan components of an application. Assessing opportunities for company growth, whether through
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Research experience and plan (Please describe your previous research projects and propose research activities in the field of membrane technologies Applications received after the deadline will not be
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of publications. Publications most relevant to the position. Ideas for research and development (research plan). An account of experience in education (Teaching Portfolio ). An account of contributions
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Energy simulation software, such as TRNSYS, Modelica, EnergyPro Programming languages, such as Python Ability to communicate results in technical reports, and prepare scientific papers for publication in
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of AI/ML will be an added advantage. Proficiency with optimization tools and software like GAMS, CPLEX Proficiency with programming languages preferably Python, Matlab Fluency in communication and
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academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme
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QGG Aarhus University seeks a Tenure Track Assistant Professor in Quantitative Genetics of sustai...
. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition in animal agriculture
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organization in unprecedented detail. These datasets will be integrated with genetic profiling and mechanistic follow-up studies to uncover how specific cellular states, transcriptional programs, and genetic