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Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images of museum
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measurement hardware development. Building complete prototype systems for clinical testing is a central goal. About the research project Hyperthermia therapy, i.e heating of tumour tissue in the range of 40–44
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Foundation for Strategic Research (SSF). You will join a growing team that currently includes two PhD students. As a postdoc, you will support ongoing research while being encouraged to carve out your own
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the experimental toolkit, and defining best practices for tumor-on-chip fabrication and immune function characterization. You will collaborate closely with the principal investigator, other postdocs, PhD students
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unexplored intersection between social cognition, attentional processing, and gaze perception. We use several different methods, including functional magnetic brain imaging (fMRI), behavioral and
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systems for diagnostics and treatment. Core activities include signal processing, antenna design, and measurement hardware development. Building complete prototype systems for clinical testing is a central
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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transferable and interpretable models for tabular data, efficient learning paradigms for medical imaging, and causally grounded and identifiable representation learning. You will have great freedom to influence
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the 202Q-lab, we have developed a prototype travelling wave parametric amplifier based on the nonlinear kinetic inductance of superconducting films (KI‑TWPA). Unlike conventional Josephson‑junction‑based
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related to medical imaging diagnostics. LUCI (Lund University breast Cancer Imaging) is a cross-disciplinary group – lead by professor Sophia Zackrisson – with a main research interest in innovative imaging