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inversion of FEM and TEM data of variable spatial density and sensitivity. The work will build on a recently developed EM forward operator, with the opportunity to design and implement the inversion engine
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) of application of several engineering materials. Strain mapping techniques (elastic or total, mainly in SEM or TEM) will be applied and furthered to gain greater insight into the mechanisms studied. During
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functionality. We are seeking a candidate who can span the interface between animal nutrition and process technology and who is dedicated to the development of alternative, sustainable feed ingredients
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with an interest in technology valorization and applied research. Terms of employment A dynamic research environment with state-of-the-art facilities and close collaborations with industry and
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: In vitro and/or in vivo phage display; Cloning, engineering, expression, purification and characterization of VHHs. We invite applications from dynamic individuals with a strong drive for innovation
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talent pool of 1,800 people from over 70 countries. We are 90 percent funded by the German federal government and 10 percent by the state of Berlin. The Technology Platform Pluripotent Stem Cells
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Department of Chemistry is one of the largest departments within the Faculty of Science and Technology, Umeå University, with approximately 200 employees and strong and expanding research. The Department has
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Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
workplace, a cooperative and open working atmosphere and targeted professional development opportunities (including methodological consulting and media technology programming) - Mobile working option (hybrid
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, Machine Learning, Physics, Mathematics, Engineering, or equivalent A solid publication record with research publication(s) in peer-reviewed international journals Good programming skills (ideally in Python
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on cancer metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as