234 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Dr" Postdoctoral research jobs in Germany
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rats. The communication language of the lab is English. The group interacts tightly with the Research Group Cognitive Neurophysiology (PI M. Yoshida; in-vitro/in vivo electrophysiology & computational
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, quoting the reference number 10/26-2.4 to: Bundesanstalt für Materialforschung und -prüfung Referat Z.3 - Personal Unter den Eichen 87 12205 Berlin GERMANY www.bam.de Dr. Dudek will be glad to answer any
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Eichen 87 12205 Berlin GERMANY www.bam.de Prof. Dr. Birgit Skrotzki will be glad to answer any specific questions you may have. Please get in touch via the telephone number +49 30 8104-1520 and/or by email
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, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging
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us at www.brochadolab.com or contact Prof. Dr. Ana Rita Brochado ana.brochadospam prevention@uni-tuebingen.de . The review of applications will begin February 20, 2026 and will continue until
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State Institutions on Social Perception and Preference Formation Your tasks The selected candidate will be part of the research group headed by Dr. Simone M. Schneider and supported by the European
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 2 months ago
such qualified individuals. For more information please contact: Dr. Alex Paarmann, e-mail: alexander.paarmann@fhi.mpg.de , Fritz Haber Institute of the Max Planck Society, Department of Physical Chemistry, 14195
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 2 months ago
vitae List of publications Names and e-mail addresses of three referees For more information, please contact: Dr. Annette Trunschke, e-mail: trunschke@fhi-berlin.mpg.de We thank all applicants
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on the true, astrophysical candidates is a computational needle in a haystack. To tackle these “big data” challenges, astronomers have begun to employ machine learning techniques. The application of machine
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motivated applicant to join the working group of Prof. Dr. Axel Janke. The successful candidate will be closely involved in gene flow, evolutionary, population or phylogenetics processes to study speciation