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Field
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neuroscience (23240033) Understanding how adaptive and maladaptive behavior emerges from the operation of neuronal circuits is a central topic across different sub-disciplines within neuroscience. Our
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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely
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responses are converted into biochemical signals. This research might include the identification and characterization of signaling proteins, investigating the effects of genetically modifying these proteins
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Area of research: Scientific / postdoctoral posts Job description: Postdoc in "Decoding cellular signaling in Photosymbiosis" (m/f/d/x) BackgroundPhotosymbioses between heterotrophic host and
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imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely connected
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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experiments, while performing precise measurements of neutrino-nucleus scattering processes. The successful candidate is expected to play a leading role in simulation studies and data analyses aiming
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transport within OECT devices Conducting systematic analysis of parameters to achieve optimal response speed, selectivity, and signal amplification of the device Where to apply E-mail teodora.rogosic@unist.hr
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Christmas apart. Selection process The evaluation of the CV of the candidates will focus on the adequacy of previous work experience within the scope of the call (point 3). The Selection will be based
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the mechanosensitive processes and the mechanical properties of tissues that drive tumor malignancy and anti‑tumoral immune responses. This multidisciplinary project will combine: Biophysical techniques and image