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Field
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Independent problem solving and systematic data-driven experimental design and execution Fluent in English, German is a plus What you can expect A multidisciplinary project with a strong focus on applied
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interactions Integrate omics approaches with microphysiological modeling Interpret data, write manuscripts, and present findings at conferences and seminars Collaborate across disciplines with engineers
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vacation care, advice for employees with relatives in need of care Wide range of health, prevention and sports offers Contact & Application For further information please contact E. Watson via mail
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) references (university degrees only), and (5) contact information of two people who can send a reference, all together as one coherent PDF file addressed to Prof. Dr. Renata Motta and sent by email to hcias
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] Subject Areas: Applied Mathematics, numerical methods, simulation and modelling Appl Deadline: 2025/05/31 11:59PM (accepting applications posted 2025/02/13) Position Description: Position Description
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
Area of research: Scientific / postdoctoral posts Job description: PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate change" (f/d/m) (HIPP26 #2
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the possibility of extension. If you are interested in this position, please send your application (as a single pdf-file), containing a letter of motivation, a CV, a list of publications, copies of academic
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annual bonus and 30 days' vacation per year subsidy for a company ticket for public transport or the Germany Ticket Further information about the can be found on the Internet at www.igzev.de
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PostDoc in "Geopolitical dilemmas for management: transfer of governance for the Southern Ocean" ...
Area of research: Scientific / postdoctoral posts Job description: PostDoc in "Geopolitical dilemmas for management: transfer of governance for the Southern Ocean" (m/f/d) (HIPP26 #1) Background
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us We are TUM’s unique Pathology AI lab developing new machine learning (ML) methods for automatically analyzing digital pathology data and related medical data. Such methods include the automatic