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-culture approaches, and skilled in fluorescence microscopy and image analysis for functional read-outs of microphysiological systems Software: Proficiency in Python, MATLAB, or R for data analysis, and
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Engineering, Physics or a related technical field Good competence in Modelling and Simulation (Dymola/Modelica, gPROMS, AVEVA PS, or similar) Good competence in programming (Python) Good competence in
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interdisciplinary experts from IRAS, TNO, and partner institutions, including urban planners, data scientists, and public health researchers. Where to apply Website https://www.academictransfer.com/en/jobs/356234/phd
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the same isolates as the proteomes)? Are the xenologs and transposons randomly distributed in the genomes? Where to apply Website https://ibb.edu.pl/en/phd-studies/rekrutacja/ Requirements Research
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of the underlying databases and annotation sources to reflect the latest releases from UniProtKB, InterPro, DisProt, and others for up-to-date annotation coverage. Where to apply Website https://ibb.edu.pl/en/phd
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methods the reliability and robustness of the hallucination detection system under diverse visual and textual conditions Primary experiments will be conducted in CARLA (https://carla.org ), enabling
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microfluidics, kinetic data analysis, Python scripting, protein purification, and cell culture are beneficial The candidate should have an interdisciplinary aptitude, strong organisational and interpersonal
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skills in programming languages and software-engineering paradigms, e.g. Python; OOA/OOD/OOP. Knowledge of or experience with semantic modeling, knowledge representation and automated reasoning. Knowledge
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Technology (NTNU) for general criteria for the position. Preferred selection criteria Strong skills in programming languages and software-engineering paradigms, e.g. Python; OOA/OOD/OOP. Knowledge of semantic
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experience in software like Julia and Python is desirable. 1.7 References 1. Nérot, B., Lamaison, N., Mabrouk, M.T., Bavière, R., Lacarrière, B., 2023, Optimization framework for evaluating urban thermal