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set by the DKFZ PhD Program Strong background in molecular and cellular biology techniques, including high-dimensional flow cytometry, gene expression analysis, cell culture (2D and 3D), and
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bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like AlphaFold3, Boltz2, PyMOL
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learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50 nationalities represented in our workforce Diverse and inclusive work
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The International Max Planck Research School for Molecular Plant Science (IMPRS MolPlant) is a doctoral programme in plant science at the Max Planck Institute of Molecular Plant Physiology and the
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behavioral neuroscience or signal processing (especially of bioacoustics data) Programming experience (e.g. Python, R, Matlab, etc.) Strong communication and collaborative skills and proficiency in spoken and
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
command of written and spoken English Basic programming skills and basic knowledge in the fields of machine learning and material simulations (i.e., quantum chemistry, density-functional theory, machine
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team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills. The TU Delft offers a customisable
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, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm
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independent work and effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Participation
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the use of mass spectrometry Experience in high-resolution fluorescence microscopy Very good knowledge in the application of statistical analysis procedures Basic knowledge in the use of programming