ABCDEFGHIJKLMNOPQRSTUVWXYZ
1
Master Seminar Project (MSP) [12 ECTS], Master Thesis (M) [30 ECTS], Bachelor Thesis (B) [18 ECTS], Hiwi Project (H). Please insert into column one or multiple possible project types for the topic.
2
SupervisorContactGroupTopic title
Comments (e.g. required/prefered programming languages)
Possible types (MSP / M / B / H)
3
< supervisor >< supervisor@uni-hamburg.de >< group >< I'm a title >python / java / R / C++ ; benchmarking / methods / appliedMSP / M / B / H
4
Fernando M. Delgado-Chaves, Michael Hartung
fernando.miguel.delgado-chaves@uni-hamburg.de
CompSysMedGraph neural networks (GNN) for drug response classificationPython (Pytorch)M, MSP
5
Fernando M. Delgado-Chaves
fernando.miguel.delgado-chaves@uni-hamburg.de
CompSysMedIntegrating a new metric for differential networking Python, RMSP
6
Mohammad Bakhtiarimohammad.bakhtiari@uni-hamburg.deFeatureCloud
Model Compression: reducing Deep neural network models size for sharing on federated pleatform
Python, PyTorch or TensoeFlowB, M
7
Mohammad Bakhtiarimohammad.bakhtiari@uni-hamburg.deFeatureCloudIntegrating TensorFlow Federated into FeatureCloud PlatformPython, TensoeFlowB, H
8
Mohammad Bakhtiarimohammad.bakhtiari@uni-hamburg.deFeatureCloudSimulating and measuring sc RNA-seq data heterogeneityPythonH, MSP
9
Olga Zolotarevaolga.zolotareva@uni-hamburg.deCompSysMedPatient stratification in non-malignant diseases
python, R, bash, pubmedM, B
10
Olga Zolotarevaolga.zolotareva@uni-hamburg.deCompSysMedBiclustering as dimensionality reduction technique?python, R, bash, mathM, B, MSP
11
Olga Tsoyolga.tsoy@uni-hamburg.deCGATSplicing quantification approachesR/Python; benchmarkingM, B, MSP
12
Olga Tsoyolga.tsoy@uni-hamburg.deCGATPrediction of splicing factor targetsR/PythonM
13
Olga Tsoyolga.tsoy@uni-hamburg.deCGATSplicing-aware network-constrained patient stratificationPython/RM, MSP
14
Olga Tsoyolga.tsoy@uni-hamburg.deCGATExtension of time-series data analysisPythonM
15
Olga Tsoyolga.tsoy@uni-hamburg.deCGATBringing to Web/AS analysisWeb development/bashH
16
Tanja Lasketanja.laske@uni-hamburg.deJan's GroupFighting viral infections using AI-enhanced defective interfering particlespython, bash, RM, H
17
Tanja Laske, K. Manalastas-Cantos, K. Newaz, O. Tsoytanja.laske@uni-hamburg.deJan's Group, CGATDe novo generation of influenza virus DI RNAspython, bash, RM
18
Tanja Laske, K. Manalastas-Cantos, K. Newaz, O. Tsoytanja.laske@uni-hamburg.deJan's Group, CGATDefective interfering polypeptide-host protein interactionspython, bash, R, AlphaFoldM
19
Tanja Lasketanja.laske@uni-hamburg.deJan's GroupSystems medicine of bone healingR, pythonB, M, H
20
Tanja Lasketanja.laske@uni-hamburg.deJan's GroupUser-friendly tool for pre-processing of multi-OMICs dataRB, M
21
Tanja Lasketanja.laske@uni-hamburg.deJan's GroupLinking high-throughput data sets with mechanistic modelsR, python, MATLABB, M
22
Klaudia Adamowiczklaudia.adamowicz@uni-hamburg.deJan's GroupSimulated Network MedicinePython, bashB. M, H
23
Khalique Newazkhalique.newaz@uni-hamburg.deJan's GroupProtein-DNA binding prediction using DNA 3D structuresR/Python/C++M
24
Khalique Newazkhalique.newaz@uni-hamburg.deJan's GroupProtein-DNA binding prediction using protein 3D structuresR/Python/C++M
25
Supratim Dassupratim.das@uni-hamburg.deJan's GroupTraining using Hybrid data to Preserve Privacy of Real dataPython (TensorFlow or Pytorch)M
26
27
28
29
Python, JS helpfulB/M
30
Python, JS helpfulB/M
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100