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the structured Junior Faculty Development Program and have the opportunity to teach at LMU Munich engage with international top-class economists within our CESifo network with over 2,000 members from all over
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natural sciences expertise in materials science and materials engineering, in particular methods of computational material science (e.g. DFT, CALPHAD) programming skills, e.g. Python basic knowledge of data
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Opportunities for the advancement to a professorship, if funds for outstanding excellence such as DFG’s Emmy Noether or Heisenberg programme, Alexander von Humboldt professorship, ERC grant or similar is obtained
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company pension plan with VBLU Modern equipped offices, social rooms, company health promotion, parent-child room, etc. for a pleasant working environment (details on our social benefits at https
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You have the ability to convey complex scientific and technical topics in an understandable and target-group-specific manner You have very good IT skills in MS Office programs and an affinity
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development of compelling research proposals to secure external funding Plan, manage and execute internal and external project events, workshops and meetings Mentor and guide junior researchers, PhD candidates
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to research this topic. Interest in laboratory work and basic technical understanding. Fluent written and spoken English. Programming skills in e.g. Python, R, Matlab and Java. Experience in image processing
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free admission to Senckenberg museums – annual special payment – collectively agreed vacation entitlement – company pension plan Senckenberg is committed to diversity. We benefit from the different
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environment. The candidate will be given the opportunity to develop a doctoral thesis with extensive support through the RTG2413 (www.synage.de ) and the CBBS graduate program (gp.cbbs.eu ). Your profile
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following requirements: strong background in geoinformatics, geography, environmental science, data science or related fields in natural science GIS software proficiency (QGIS or ArcGIS) programming