16 computer-programmer-"https:"-"Inserm"-"https:"-"https:"-"https:"-"https:"-"ENS-PARIS-SACLAY" positions at Free University of Berlin in Germany
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on the connections between global dependencies and ruptures. The regional focus of the program is both on people and places in the so-called Global South and North. It takes into account that economic and societal
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, teaching within the Bachelor and Master Program of the department. The position offers the opportunity to acquire your own third-party funded projects and to obtain a postdoctoral qualification (Habilitation
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As a PhD student, you will become part of an excellent scientific network and benefit from our structured, interdisciplinary graduate program, which includes tailored training, workshops, retreats
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childhood on economic behavior and outcomes. For example, a subproject of the DFG research group “Labor Market Transformation” is investigating the labor supply of immigrants. The teaching program is open to
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. Our program focuses on understanding hostpathogen interactions across species (mice, chickens, pigs, dogs) using well-established viral (e.g., Marek's disease virus, Theiler virus, Hepatitis E
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programme, which includes tailor-made training courses, workshops, retreats and conference trips. You will have access to state-of-the-art laboratories and theoretical methods, individual supervision, and a
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a doctoral candidate, you will become part of an excellent scientific international network and benefit from our structured, interdisciplinary graduate programme offers, which include training courses
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for light-induced dynamical processes, THz pulse emission, ultrafast spectroscopy and theory for current-induced spin dynamics. The research tasks include the development of theoretical models and computer
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Bolotin working group. As a PostDoc, you will become part of an excellent scientific network and benefit from our structured, interdisciplinary program, which includes tailored training, workshops, retreats
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using innovative artificial intelligence (AI) techniques. The consortium uses machine learning to accelerate computer simulations of proteins, thus enabling the direct investigation of protein dynamics