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, ligand GaMD). ● Experience building and interpreting Markov State Models or comparable approaches for identifying metastable states and conformational transitions. ● Proficiency in Python and
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, protein expression and purification Sequencing-based assays (RNA-seq, single-cell genomics, or related methods) Analyzing genomics datasets in Python or R Prior experience with Class I or Class II tetramer
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., RNA-seq, GWAS) Proficiency in R, Python, or similar computational tools Department Contact for Questions Questions regarding the position or application process can be directed to Dr. Tess Leuthner
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learning, or optimization Strong programming skills in Python and experience with scientific computing and machine-learning libraries Ability to work across experimental, robotic, and computational systems
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 2 months ago
. Excellent communication skills, and in particular good command of the English language. Programming skills: Python, MATLAB, Wolfram Mathematica, Igor Pro, etc. We offer Access to a world-class laboratory with
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not expected. Experience with scientific programming, quantitative data analysis, numerical calculations and simulations using tools such as LabVIEW, Python, MATLAB, Mathematica, Origin, COMSOL
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development of clinical risk prediction tools. You should be confident working with large and complex datasets, using statistical programming languages such as R, Python, Stata or SAS, and have a strong
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. Experience in magnetic confinement plasmas is desired Expertise in plasma control Proficiency in commonly-used programming languages, e.g. FORTRAN, C, IDL, Python, Matlab Experience developing software
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with RF experimentation or wireless testbeds. • Experience contributing to research proposals. • Prior experience mentoring graduate or undergraduate students. • Proficiency in MATLAB, Python, and/or C
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minimum of one year eligibility remaining. Strong skills in technical programming languages, e.g., Matlab, Python, or C++; in computational statistics, i.e., unsupervised and supervised ML methods, incl