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their own research. The position provides a structured, supportive framework for developing scientific independence, with the clear objective of establishing an autonomous research direction by the end
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USNH Employees should apply within Workday through the Jobs Hub app The research position(s) are within the broad area of biophysics, structural modeling, and molecular dynamics (MD) simulations
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challenges during integration in the AIT construction hall and later at the telescope site. You work closely with local scientists to guarantee that the developed software meets or exceeds ESO’s scientific and
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practices, organisational structures, and existing infrastructures. Building on insights from ethnographic studies of robot use in healthcare, which have shown how human-robot collaboration is shaped by
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based on wing morphology. This model will be trained of existing wing images and applied to images of museum specimens to estimate historical age structures over the last 150 years. Forecasting Shifts in
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. Probes endosomal escape, intracellular trafficking, structure–activity relationships, and uses omics/imaging tools to identify delivery barriers and off‑target effects. Performs other job-related duties as
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Python and common deep learning frameworks (PyTorch) • Excellent communication skills in English (German is a plus) • Independent, structured working style and experience in supervising students Preferred
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for Microelectronics” —a physics-informed AI framework that links composition, structure, and operating conditions to defect evolution and functional performance. The successful candidates will lead experimental
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as possible. Job description The project aims at determining in situ structures of axo-axonic synapses at the axon initial segment (AIS) of neurons through cryo-electron tomography (cryo-ET), and
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challenges during integration in the AIT construction hall and later at the telescope site. You work closely with local scientists to guarantee that the developed software meets or exceeds ESO’s scientific and