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of data such as from Kepler, K2, and TESS Experience with scientific software development, testing and documentation (python-oriented development environments, github, writing of manuals) Experience with
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, Reduction, Refinement), cost-effective testing paradigm for chemical safety assessment — Precision Toxicology — that revolutionises regulatory toxicology, replaces animal testing, reduces uncertainty, and
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be online interviews for short-listed candidates, if needed. Required documentation: • CV (include contact details of people from whom references or reports can be requested) • Motivational letter
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learning) applied to operational infrared images. Design and test a drone payload for the detection and geolocation of fires in night conditions. Collaborate with modeling teams to integrate observational
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. The candidate should have a background in machine learning and experience is welcome in common software libraries such as Pennylane, Qiskit or similar. Applicants are expected to be fluent in both oral and
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group led by Prof. Jordi Martorell to undertake/lead research in the study of light management or fabrication of nanophotonic structures to enhance the PV parameters such as open circuit voltage and short
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or vibratome, and immunofluorescence staining. Experience in mouse behavioural tests and analysis. Excellent organizational skills Interest in working within a International and collaborative network FELASA B
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fieldwork.Excellent command of office software. - Knowledge on data analysis (Stata, R, or similar) will be an asset. - Excellent command of English Language is required (C1 or B2). - Excellent command of the main
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ambitious one, aiming at habilitating the characterization of small earth-size planets in the habitable zone of their stars, with the upcoming ANDES instrument at the European ELT (and similar instrumentation
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requirements, please submit your application through the form available at the bottom of this page. Equal treatment and opportunities are guaranteed for all candidates in the selection process, avoiding any