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providing the developed methods and standards are strategic goals of the DPZ and the Göttingen Campus. The Candidate ideally fulfills the following requirements: PhD (or equivalent) in data science
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, or learning sciences. You are interested in interdisciplinary collaboration and working in research teams. You have very good knowledge of social science research methods and statistics. You have
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equipment (microscopes) Knowledge in CAD software (e.g., SolidWorks, AutoCAD) What you can expect Hands-on experience in microfabrication techniques Exposure to cutting-edge research in microfluidics and MEMS
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-learning prediction models” with the following focus areas: Design and development of methods for drifter detection in self-learning AI models Evaluation using real data sets from photovoltaic systems and
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Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex interplay between the human
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strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration
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small maps of the entire area of interest are generated. These small sub-maps overlap on several transistions. In this thesis, you will explore methods of merging small sub-maps into one combined
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applicants, who want to understand neuronal signal transmission and neuromodulatory processes on the cellular circuit level by using innovative state-of-the-art methods including advanced imaging techniques
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/w/d) to commence as soon as possible. Requirements for applicants are an outstanding PhD dissertation as well as research and teaching that go beyond the PhD. The holder of the position is expected
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ASAP (2 x 3-year non-tenure track appointments). We are looking for well-trained and outstandingly accomplished early career scientists (i.e., MD, PhD or MD/PhD plus 2 to 8 years of postdoctoral training