60 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Denmark
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, that can be documented by a publication record in relevant venues. Solid understanding of state-of-the-art embedded machine learning techniques. Experience in system-level programming, developing prototype
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) or a similar degree with an academic level equivalent to a two-year master's degree.[BN3] [SK4] Strong programming skills in Python and MATLAB Background in biomedical signal processing, ML, and BCIs
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users of the R&D Kitchen in their respective projects, offering advice, guidance, and/or collaboration on a case-by-case basis Plan, carry out, and lead own culinary R&D projects for sustainability around
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expect the candidate to have: PhD in transportation science, machine learning, behavioral economics or a related field. Programming skills Python, along with experience working with transportation
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engineering in Europe. The department conducts research, development & scientific advice and provides educational programs and service to society. We are working to develop new environmentally friendly and
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of platform fabrication will be a central aspect that has to be considered. Your primary tasks will be to: plan and execute experimental research design and fabricate micro- and nanoelectrode chips in the DTU
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programming language suited for scripting, data handling, and web development Experience working with web application frameworks and server-side technologies to build scalable systems Familiarity with modern
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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 by Theodora
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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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equivalent). Other qualifications and competences include: Experience with bioinformatics Experience with mathematical modelling and programming, including source attribution modelling of foodborne pathogens