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Field
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phenotyping, including image analysis evaluations, for trait quantification Handle NGS datasets for RNAseq or SNP detection and linkage analysis using R Your qualifications and skills: You have a PhD or
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assays, flow cytometry, and gene editing techniques Collaborate closely with biologists, clinicians, and data scientists within a highly interdisciplinary environment Contribute to publications and
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, Raman spectroscopy, Scanning electroscope microscopy). Analyze data, contribute to scientific publications, and present research findings at international conferences. Collaborate closely with our
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The TUM School of Computation, Information and Technology at the Technical University of Munich (TUM) welcomes applications for a PhD or Postdoc Position (m/f/d, 100%, 2 years+) in Numerical Mathematics
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Supervision and mentorship of PhD and medical students, fostering their development and guiding them in their research projects Our requirements A PhD in biology, biochemistry, bioinformatics, or a related
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will perform live-cell imaging experiments and analyze data You will collaborate with other members of the team in advance microscopy and super-resolution techniques You will develop leadership skills
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Researcher (m/f/d) (salary group TV-L E13, 100 %, 22 months) Preferred start date is as soon as possible. Duties and functions: Intuitive information processing has clear advantages for human cognition but
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
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conferences in Germany and abroad (incl. presenting your research results) Preparation scientific publications and project reports Co-supervision and support of Master and PhD students Your Profile: Excellent
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teaching and curriculum development. Your qualifications PhD in computer science, data science, applied mathematics, physics, or a related field. Strong expertise in machine learning and deep learning