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Koplev lab is recruiting an outstanding and ambitious postdoctoral researcher in computational biology to pioneer research in immunology using single-cell and spatial transcriptomics data. The focus will
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dernières années, cette discipline a profondément renouvelé notre compréhension de l'intérieur stellaire, notamment grâce aux missions spatiales CoRoT et Kepler. Toutefois, seules quelques étoiles chaudes
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response.' Lab website: https://ki.se/en/neuro/lopez-laboratory-neurobiology-of-stress-and-treatment-response Your mission We are looking for highly motivated candidates to join our team and work with
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sensing techniques. The ultimate goal is to establish a framework for spatially extensive monitoring of European beech vitality under drought stress in Germany and Central Europe. This project offers
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, atmospheric forcing, and human activities. Measuring and modelling this complex ecosystem is particularly challenging because of its high spatial and temporal variability, which requires dedicated and adaptive
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and to what extent is an open question. To address this, Rijkswaterstaat initiated the MONS project (https://www.rijkswaterstaat.nl/water/vaarwegenoverzicht/noordzee/onderzoeksprogramma-mons ). In
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to cutting-edge research on spatial reasoning, semantic technologies, and interdisciplinary AI for geosciences and geography. Where to apply Website https://www.academictransfer.com/en/jobs/356998/phd-position
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 11 hours ago
. The candidate will have access to advanced platforms for single-cell and spatial omics, 3D tissue modeling, bioreactors, and in vivo models. The successful fellow will also contribute to collaborative efforts
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range and optical laser pulses, combining these with near-field methods for improved spatial resolution. To better understand our results, we develop simple theoretical models. The insights gained
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. The relevant synaptic turnover and plasticity processes span spatial scales from the molecular up to the network level, and temporal scales from seconds to hours and beyond. The aim of this PhD project is to