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, with possibility of one extra year extension. ROLE WITHIN THE RESEARCH PROJECT Microscopy of fluorophore tagged transcription factor localization upon different stimuli Development and optimization
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plus) related to electrical engineering, power electronics or similar Strong experience with conceptualisation, simulation, modelling of power electronics (experience in HiL-Methods is a plus) Solid
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topics in small subgroups. Teamwork is a key factor to our group’s success. Together we have assembled a unique skill set and knowledge base in quantum information, quantum computation, quantum
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explore transition metal-dichalcogenide based systems, which are among the most exciting materials currently studied. As a PhD researcher, you will drive innovation in spectroscopy-based characterization
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where it can be targeted. What you will do Build robust, reproducible scRNA-seq analysis workflows and benchmark methods (simulation + real datasets) Develop rare-event–sensitive CIN/aneuploidy metrics
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development Outstanding knowledge of empirical social research methods Advanced competence in statistical methods and computer programs for analysis of quantitative and qualitative empirical data (e. g. SPSS
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workflows and benchmark methods (simulation + real datasets) Develop rare-event–sensitive CIN/aneuploidy metrics and validate them across multiple cancer cohorts Link CIN programs to outcomes and therapy
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of biology First practice in scientific writing and with molecular-genetic research methods Didactic skills / experience in e-learning Strong IT user skills, including MS Office and other programs e.g
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-haves: Completed Master's/Diploma degree in the field of biology First practice in scientific writing and with molecular-genetic research methods Didactic skills / experience in e-learning Strong IT user
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(Diploma degree programme or Master’s level) or an equivalent degree with a focus on cultural education and design based learning Demonstrated expertise in qualitative research methods as well as digital