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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. Your role We are looking for a doctoral candidate with a strong computational, engineering
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interstellar ices to the early stages of planetary systems. The successful candidate will perform multidimensional gas chromatographic analyses of astrophysical-relevant samples including interstellar ice
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done using semiconducting materials, with transistors performing logical operations (“NOT”, “AND” etc.). A new paradigm proposes to use magnetic materials to perform these operations, by en-coding
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Research Fund (FNR) in the framework of its Program for Research Intensive Doctoral Education (PRIDE ), we are currently offering 5 PhD (Doctoral Candidate) positions for a duration of up to three years
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for neurodegenerative diseases. Outcomes could be diagnoses of mild cognitive impairment, dementia, and/or Parkinson's Disease, or markers of brain structure and functioning, depending on the dataset
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, which primarily specialize in either force generation or endurance, craniofacial muscles perform highly intricate tasks essential for eye movements, feeding, and speech. In this project, we will employ
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Fluency in English, along with a good command of either German or French is required. Knowledge of Luxembourgish is considered an asset We offer Multilingual and international character. Modern institution
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and stable?- How do models perform on heterogeneous data (e.g., federated or personalized learning)?- Can smaller, energy-efficient models achieve strong performance on specialized tasks?Position
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health tools. Basic proficiency in data analysis (Python or R); experience with speech analysis libraries or NLP is an asset. Strong scientific writing skills and a collaborative spirit. High motivation