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Field
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: The successful candidate will work in a team developing metal-free magnetism in graphene-related materials and organic 2-dimentional crystals by means of theoretical materials science. A wide range of quantum
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highly motivated candidate to develop models integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing
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the activities of the SFB ChemPrint Writing of scientific publications and project reports Your Profile: Masters degree in materials science, chemistry, physics, production engineering, energy technology or
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Max Planck Institute for Plant Breeding Research, Köln | Koln, Nordrhein Westfalen | Germany | 6 days ago
generation of single cell libraries Interest in latest genomics and transcriptomics technologies and their applica-tion Experience in working with plant material is an advantage In addition to your
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Description The following position is available immediately in the Experimental Toxicology an ZEBET department of the Federal Institute for Risk Assessment (BfR), subject to the allocation of funds: Reference number 3694: PhD student researching and developing alternative methods to animal...
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Description of the offer : The "Terahertz physics of quantum materials" at Freie Universitaet Berlin, Germany, is looking for qualified candidates to work on the following 2 PhD projects
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, material synthesis, catalysis, analysis and characterisation, battery cell, recycling, sustainability and life cycle analysis. Theory and Modelling Theoretical work is conducted on very different length- and
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allowances) as well as financial support for a pre-sessional German language course. Plus, material resources of 1,000 Euros per year, administered by the supervisor’s institute. Research stays outside
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employers in the region.] The Research Training Group 3082 “Engineering Covalent Bonds in Molecules and Materials (Ec=m2), funded by the DFG (German Research Foundation), will be located in the Departments
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integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing, computational model development, data processing, and