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or experience with built environment studies related to health outcomes; Knowledge of ArcGIS or spatial analysis in R. Additional Information Benefits A contract for the duration of the PhD-project. We offer
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cognitive and blood-based biomarkers; and improved access to individualized preventative interventions (including multimodal interventions and symptomatic/disease-modifying therapies) across diverse
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Alzheimer’s disease such as ApoE4. In this PhD project, you will apply this previous knowledge to develop cellular screening assays in order to identify novel candidate interventions for Alzheimer’s disease
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of new computational methods; You have strong programming skills, preferably in R, or are willing to learn R; You are able to explain complex ideas to epidemiologists/non-specialists; Knowledge
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distributions, which are combined with knowledge on temperature-dependent drug effectiveness to compute the combined effect of heat and chemotherapy. Goal is to establish strategies resulting in effective tumor
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, patients (and their loved ones) and other stakeholders, and translate new scientific insights into educational and other knowledge-sharing methods; You will actively participate in educational activities
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research where enthusiastic and ambitious academics work on generating knowledge and translating this to improvements in health and wellbeing. BioPsy has an extensive laboratory validation pipeline
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transcriptomics, this project aims to obtain fundamental new insights in the function of LN neutrophils and their role in RA. Ultimately, gained knowledge may lead to novel therapeutic targets to redirect skewed
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. Requirements Specific Requirements We are looking for a PhD student with a master in Neuroscience, Cognitive neuroscience, Cognitive psychology, Biomedical engineering, Human-Computer Interaction, Signal
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degree are not eligible. Strong knowledge about audio signal processing Knowledge about machine learning and state-of-the-art frameworks (PyTorch, TensorFlow, etc.) Basic knowledge about digital signal