130 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"IMPRS-ML"-"CSIRO" positions at Technical University of Denmark
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enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence
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. Knowledge of olfaction, calcium, or GPCR signalling is preferred. Experience with biological assay developments such as bulk and single-cell reporter assays. Programming skills (e.g., Python, R). As a formal
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included in the project. You will also take part in the National and European reporting of zoonoses and antimicrobial resistance and in relevant teaching at DTU National Food Institute. You will plan
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equivalent). Other qualifications and competences include: Experience with bioinformatics Experience with mathematical modelling and programming, including source attribution modelling of foodborne pathogens
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Physics, Biomedical Engineering, Medical Physics, or related field Strong quantitative/programming skills Strong communication skills (writing papers, giving talks) Curiosity, drive, and a taste for
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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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/ Computer Science Electricity Markets or Power Systems in addition to solid programming skills (namely Python, Julia) and excellent command of the English language. We welcome candidates with varied experiences and
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in glaciology, Geodesy, Earth sciences, remote sensing, or a related field. Strong skills in data analysis, programming, and handling large geospatial datasets are essential. Experience with satellite