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24th October 2025 Languages English English English The Department of Computer Science (IDI) has a vacancy for a PhD Candidate in Information Infrastructure Development of Offshore Energy Hubs
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, Quantum Sensors Appl Deadline: 2025/09/31 11:59PM (posted 2024/09/24, listed until 2025/09/31) Position Description: Apply Position Description The position (post-doc, research associate, or PhD student
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Reference: REQUIMTE 2025-50 Main research field: Chemistry, Chemical Engineering, Physics, Physics
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engineering, data science, computer science, or a related field. Experience in organic synthetic chemistry. Basic programming skills in Python or advanced knowledge in another programming language that enables
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degree - or the degree 'Doctor of Philosophy' (PhD), or an equivalent - or are preparing to obtain such a degree elsewhere, in principle cannot be admitted to the doctoral programme at EUR. Employment
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the Post Doc Office and per the following requirements: · The term of this appointment is limited (5 years with a possible extension for an additional year) · The appointment involves substantially full-time
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, and/or EPR/UV–Vis for probing active sites and intermediates. Computational chemistry (nice to have): Familiarity with MD and/or QM/MM, or motivation to learn these tools to inform design and mechanism
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Period: 9 months Workload (hours/total): 42 h/month Where to apply E-mail epoc.project@e
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the EU Research Framework Programme? Horizon Europe (other) Reference Number 101156325 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Institute of Public
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence