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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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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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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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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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: 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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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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, 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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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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include data review and gap analysis, decomposition and simulation modelling using tools such as LEAP Ireland, and supporting the design, testing, and validation of policy-relevant indicators and sectoral
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position. Please note that in order to comply with the applicable data protection regulations, we can only accept applications via our web-based applicant tool for this vacant position. Application Documents