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tweezers, (iv) quantitative image processing, data analysis and modeling. The project is funded by the MARIE SKŁODOWSKA CURIE ACTIONS (MSCA) Doctoral Network (DN) MOtorized NAnomachines: fundamentaLs
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Master's students Information event “Studying and Then Earning a Doctorate?” Exposé writing in humanities and social sciences Individual advice/guidance Faculties Faculty 01: Law Faculty 02: Economics and
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) and nonperturbative methods (lattice QCD). For more information on the group research activity see the web page https://users.ph.nat.tum.de/T30f/ The research activity will be performed also inside
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written in English or German. Current information Application for admission to the doctoral study programme is possible at any time. Financial support No Structured research and supervision Yes Research
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University of Würzburg - Rudolf Virchow Center for Integrative and Translational Bioimaging | Oettingen in Bayern, Bayern | Germany | 3 months ago
to apply. Disabled applicants will be preferentially considered in case of equivalent qualification. Applications including cover letter, detailed CV, copies of certificates, and contact information of two
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qualifications. Interested? We are looking forward to receiving your application via e-mail to [email protected]. The position will be open until an appropriate candidate is found. The position is
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and private life. Information for international students with children Support available to students with a refugee background The contact person for refugees is Nandita Isloorkar. E-mail
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
information concerning our current areas of research activity, visit our website. Your profile We are looking for excellent, enthusiastic and self-motivated early-career researchers with good communication
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Testing of the control algorithm in the hardware-in-the-loop environment Interaction of the developed algorithm with the data from the container-size prototype Integration of the data from the prototype and
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that combines longitudinal real-world data, causal inference and agent-based knowledge integration to improve therapy sequences beyond the second line. In SEQUORA, we develop trustworthy AI assistance