216 experience-design-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Netherlands
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English Experience with animal behavior, optogenetics, viral approaches, microscopy, programming/data analysis, MRI or human experimental research would be an advantage, but we do not expect applicants
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programming (Matlab and/or Python); Hands on with laboratory work, skilled in experimental design; Creativity, assertive attitude, and perseverance The selection process will start immediately; the intended
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that integrate behavioural insights into bio-economic models to support the design of cost-effective and sustainable pest risk management strategies. The PhD research will be conducted within the framework
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opportunities to collaborate with researchers from other Dutch and international universities, research institutes, societal partners and people with lived experience of gambling-related harm. You will be
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unique expertise in human neuropathology. The team has extensive experience with human tissue, histology, cell culture, microscopy and advanced molecular techniques, including transcriptomic analyses
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treatment priorities. To achieve this, POLARIS brings together expertise in leukodystrophy biology, advanced disease models, therapeutic innovation, biomarker development, clinical translation, patient
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on selected instrumented railway bridges. Building on these insights, an on-board measurement system (e.g., based on Axle Box Acceleration (ABA) or Laser Doppler Vibrometry (LDV)) will be designed and
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utility to more complex-shaped multi-layered structures is limited. In this project you will design and construct advanced DH systems to visualize complex optical samples comprising of multiple layers
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are analyzed, designed and built. The Electrical Engineering department takes its inspiration from contacts with high-tech industry in the direct surrounding region and beyond. The department is innovative and
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) Developing deep learning pipelines for multilayer segmentation and nanoscale transistor classification from microscopy images; (b) Designing graph-based inference models capable of reconstructing higher-level