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are seeking an experienced and compassionate Pulmonary Chronic Ventilatory Failure Specialist to join our multidisciplinary team. The ideal candidate will have expertise in the diagnosis, treatment, and
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | about 24 hours ago
to the Doctoral School of ILT&SR PAS https://phd.intibs.pl/files/dokumenty_EN/25-04-29-Zasady_rekrutacji_SD_INTiBS_PAN_en.pdf Description of the research project and the PhD thesis The proposed doctoral project
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is responsible for and not limited to the following: Performs patch clamp experiments in vitro, immunohistochemistry, and histological analysis of brain tissue. Maintains and manages laboratory
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absorption fine structure), development of data-analysis approaches and computer software for simultaneous structural refinements using multiple types of data combined with ab initio theoretical modeling
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associated with bone marrow failure within this methylation context. Essential Duties and Responsibilities include the following: Carries out research activities under the guidance of the Principal
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tasks: Preparation of a report on soil mapping for vineyards under different biochar application levels. Comparative analysis of ecophysiological systems and processes in vineyards, using advanced
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to the role. Experience with various methods and skills for complaint, grievance, and adverse event reporting, monitoring, and investigation, including root cause analysis, failure mode effect analysis, and
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equipment. Diagnoses malfunctions through root cause analysis, troubleshoots, and assists in making recommendations to avoid future failures. This may require driving a university vehicle to satellite plants
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financial reporting, analysis, and variance analysis, while working closely with campus leadership. This is a hybrid position with the option to work remotely part of the week. Your skills will make a
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operations. The PhD will develop and implement artificial intelligence and data-driven methods for early anomaly detection, root cause diagnosis, and failure prediction on industrial systems, leveraging