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assembly. - Excellent English proficiency Skills: - Strong competence in the use of bioinformatic tools such as plink or bcftools is a must. - Excellent command of R and Python scripting is required
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Oxford Nanopore Technologies (ONT). Your role will be central in creating and applying bioinformatics and machine learning tools to analyze long-read data and decipher cap-specific signals from raw
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setups, including the development of software required to gather and analyse data (using e.g., .Net, Python, LabView); Experience in the operation of common clean room tools used in the nanofabrication
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regeneration and Nature-based Solutions in disadvantaged areas through the development of innovative co-analysis, co-design, and co-monitoring tools and methodologies for engaging with the community
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: Please note that it will not be possible for the University to issue a Certificate of Sponsorship to the successful candidate for this position. Therefore, the appointable candidate will need to be
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commercial tools (e.g., PSSE, PSLF, PSCAD) or open-source tools (e.g., ParaEMT, ANDES and others). Develop new type of electrical components (such as advanced pumped storage hydro, data center, etc.) for large
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Experience with specific software tools in photonic integration, such as Lumerical or COMSOL What you will do Lead and conduct research in collaboration with others Develop and expand your scientific expertise
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into photonic or electronic systems Hands-on experience with SEM, AFM, TEM, and other characterization tools Demonstrated ability to work independently and collaboratively in a multidisciplinary environment
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, and Experience Experience with x-ray techniques and/or synchrotron experiments. Experience with nanofabrication tools (particularly focused ion beam and lithography). Background in condensed matter
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experiment tasks, implementing the infrastructure that handles message exchange and tool calls, and devising tools that control beamline instruments and launch simulations/analyses. You will help integrate