Beroepenzoeker

Vind met de beroepenzoeker de beroepen die bij je persoonlijkheid passen of zoek een beroep op trefwoord. Ontdek per beroep hoe groot de kans op robotisering is, welke opleidingen je kunt volgen, wat het gemiddeld salaris is en hoeveel vacatures er zijn. Weet je niet welke persoonlijkheidskenmerken het beste bij je passen? Doe dan eerst de beroepentest.

PERSOONLIJKHEIDSKENMERK 1
  • -Geen keuze-
  • Realistisch
  • Intellectueel
  • Artistiek
  • Sociaal
  • Ondernemend
  • Conventioneel
PERSOONLIJKHEIDSKENMERK 2
  • -Geen keuze-
  • Realistisch
  • Intellectueel
  • Artistiek
  • Sociaal
  • Ondernemend
  • Conventioneel
MAXIMALE OPLEIDINGSNIVEAU
  • 1 - Geen
  • 2 - VMBO
  • 3 - MBO
  • 4 - HBO
  • 5 - Universitair
 

Resultaten voor 3 - MBO

BEROEP
BEROEP EN OPLEIDINGSNIVEAU
VACATURES
41
2
119
15
20
0
1
175
0
1
515
42
28
0
1
4
15
0
84
12
29
74
26
2
13
15
2
68
77
0
24
30
3
150
4
0
36
52
119
0
3
18
21
0
169
0
6
0
4
178
17
178
7
0
1019
71
40
2
2412
34
0
3
0
267
0
1
26
5
3
39
0
0
4
12
1
24
9
0
0
3
36
2
4
140
487
3
0
1
2
31
0
180
0
0
4
102
5
701
3
142
199
5
0
69
164
347
16
0
0
14
132
11
54
0
31
4
17
0
0
1
0
6
0
0
0
0
0
34
36
0
1
0
0
259
0
228
228
0
2
4
1288
461
6
44
22
1862
0
0
0
754
0
1
2
1
0
1
19
1
17
25
112
38
2
6206
1214
3
9
52
8
64
0
176
691
295
9
10
1
411
24
102
0
7649
20
26
337
68
225
0
146
49
11
7
1025
22
1
3
1
22
354
615
6
96
29
1691
4673
11
414
51
44
300
187
0
47
64
40
149
6
0
16
4
0
0
25
1
1017
1017
23
0
0
149
0
1601
104
28
20
184
83
0
8
4
144
110
35
1125
72
598
94
1
362
101
57
28
8
1
449
182
163
245
0
7
0
63
0
6
0
112
2
6
38
96
42
0
303
0
16
5
0
0
12
1
0
21
0
84
1
231
13
509
102
0
59
737
0
45
0
0
0
0
0
807
35
0
0
1
102
78
0
0
0
1
149
34
28
0
49
62
1
4
5
5
145
3
6
1
8
133
13
1124
198
25
2
4
10
8
18
8
0
28
111
2
161
0
1
0
2
0
12
1
12
0
1
0
1
32
105
0
7
1
3
47
1
11
2
22
0
0
0
0
0
0
9
70
177
0
3220
98
3
0
1
7
54
11
54
19
14
0
393
2
393
102
0
49
362
1
1
11
424
0
0
0
3
0
5
172
8
3
1
153
8
0
17
7
44
1
0
5
2
0
61
0
3
8
4
87
0
0
0
1924
0
363
44
39
0
78
47
8
1
788
6
0
12
0
47
8
24
3
185
6
12
4153
0
4
85
0
74
0
0
10
1
192
0
12
3
3217
46
3
1756
2693
20601
498
1020
0
0
82
11
24
295
17
219
25
23
1141
1385
1
32
543
6
51
14
187
224
70
13
25
210
3
5
129
251
305
0
14
378
51
659
1443
19
21
0
111
5
6
0
0
100
199
86
41
166
199
89
496
18
16
0
1616
276
21
2
0
9
36
243
0
1
79
81
11
72
20
0
1
321
175
3726
28
49
68
4
101
17
122
215
42
9
13
211
41
10
1160
289
1132
0
26
0
0
0
3
0
11
0
284
0
0
0
0
0
0
2
0
0
0
6
37
77
6
65
4
0
32
0
1
0
3
22
78
2068
0
5
0
30
22
0
13
23
4
8
20
9
10
3
21
9
13
24
113
0
0
0
0
0
0
3
12
113
0
0
0
3
0
0
1
0
20
0
1
0
1
0
0
20
0
2
0
0
0
0
3
79
1
8
73
52
3
1
21
0
0
31
26
0
0
0
19
1
0
0
2
21
3
1382
0
103
0
0
0
996
7
0
162
10
0
11
5
8
592
21
120
22
0
508
0
72
30
17
2
65
74
92
6
3
0
46
151
1576
197
0
34
542
0
190
2068
1
7
52
2
27
1
29
1017
6
4
0
0
0
59
2
0
1
5
2
11
12
82
4
0
244
1665
870
0
1481
5
1110
1
2747
34
396
1
407
1190
1559
488
1
67
220
112
ROBOTISERINGS%
73%
3%
59%
5%
8%
8%
9%
0%
75%
25%
29%
77%
98%
98%
8%
8%
8%
97%
4%
23%
23%
90%
21%
30%
22%
65%
45%
22%
22%
22%
52%
52%
81%
68%
75%
84%
84%
81%
1%
38%
24%
84%
24%
24%
24%
24%
96%
96%
1%
97%
97%
57%
91%
85%
42%
61%
94%
99%
1%
15%
13%
60%
39%
56%
4%
2%
5%
37%
98%
13%
3%
2%
13%
13%
10%
72%
55%
74%
98%
13%
2%
60%
31%
14%
1%
90%
90%
47%
23%
5%
13%
92%
4%
10%
34%
3%
34%
6%
91%
71%
40%
40%
30%
25%
39%
47%
47%
3%
2%
54%
51%
30%
78%
89%
72%
86%
63%
63%
3%
0%
0%
17%
48%
48%
5%
60%
34%
75%
34%
10%
10%
57%
95%
84%
67%
10%
63%
81%
83%
30%
96%
97%
94%
57%
66%
95%
97%
77%
54%
8%
8%
82%
96%
72%
54%
20%
11%
1%
95%
29%
21%
91%
6%
8%
74%
9%
9%
6%
28%
97%
98%
92%
54%
2%
10%
25%
25%
25%
99%
97%
94%
1%
95%
96%
98%
90%
97%
98%
86%
46%
97%
97%
55%
70%
97%
94%
95%
92%
90%
96%
99%
99%
49%
96%
88%
95%
86%
98%
81%
96%
22%
99%
16%
98%
98%
96%
66%
57%
57%
8%
94%
95%
87%
75%
87%
97%
17%
17%
68%
82%
89%
72%
82%
79%
87%
75%
94%
88%
83%
79%
15%
73%
64%
75%
40%
35%
84%
90%
90%
82%
83%
39%
53%
89%
83%
71%
71%
0%
74%
15%
76%
36%
70%
76%
91%
41%
61%
65%
82%
71%
91%
55%
59%
59%
73%
75%
40%
88%
66%
79%
93%
94%
59%
70%
91%
63%
65%
40%
65%
72%
67%
59%
82%
10%
49%
97%
27%
91%
99%
64%
64%
94%
18%
90%
50%
2%
79%
95%
97%
82%
93%
97%
49%
98%
89%
93%
60%
70%
86%
36%
84%
98%
65%
87%
93%
90%
84%
94%
94%
61%
92%
97%
83%
95%
52%
84%
0%
39%
92%
87%
4%
96%
91%
95%
64%
85%
89%
61%
85%
78%
71%
86%
88%
98%
92%
95%
1%
97%
45%
69%
92%
88%
99%
66%
98%
90%
90%
7%
55%
71%
35%
25%
67%
89%
79%
89%
96%
91%
86%
83%
27%
27%
62%
4%
97%
90%
90%
92%
94%
91%
90%
8%
48%
97%
69%
18%
98%
5%
55%
1%
1%
8%
1%
2%
2%
2%
85%
85%
98%
13%
40%
40%
4%
96%
79%
8%
80%
5%
39%
1%
39%
60%
90%
82%
80%
72%
8%
95%
0%
63%
97%
85%
4%
66%
94%
75%
9%
31%
2%
82%
97%
52%
0%
34%
13%
13%
39%
19%
73%
91%
6%
40%
88%
13%
99%
2%
96%
8%
8%
53%
75%
79%
52%
7%
7%
92%
47%
1%
1%
2%
77%
82%
15%
93%
94%
0%
8%
53%
65%
79%
47%
52%
98%
1%
4%
8%
64%
13%
88%
86%
48%
30%
66%
68%
10%
95%
97%
98%
93%
28%
23%
1%
15%
68%
97%
45%
98%
91%
37%
94%
15%
55%
13%
4%
2%
40%
13%
35%
40%
88%
88%
94%
88%
92%
86%
88%
40%
25%
82%
47%
97%
14%
1%
11%
64%
8%
52%
98%
7%
8%
8%
66%
69%
40%
1%
92%
84%
10%
94%
90%
15%
2%
99%
6%
55%
15%
2%
57%
2%
15%
8%
8%
29%
28%
47%
27%
61%
84%
21%
67%
67%
96%
28%
10%
97%
61%
43%
37%
80%
79%
83%
8%
83%
51%
96%
39%
94%
99%
98%
61%
94%
85%
95%
68%
79%
98%
95%
81%
94%
92%
87%
88%
82%
95%
83%
87%
62%
75%
83%
92%
74%
57%
92%
92%
87%
83%
53%
93%
85%
59%
37%
86%
77%
18%
79%
98%
91%
61%
91%
93%
83%
78%
94%
95%
88%
67%
95%
94%
91%
84%
88%
97%
99%
97%
95%
73%
96%
88%
86%
97%
76%
97%
83%
64%
86%
93%
37%
97%
98%
91%
95%
81%
93%
90%
90%
67%
94%
92%
3%
98%
69%
93%
83%
75%
93%
65%
93%
37%
90%
93%
72%
75%
18%
87%
95%
87%
95%
75%
3%
51%
93%
97%
87%
69%
49%
94%
87%
77%
92%
96%
94%
86%
91%
77%
66%
69%
82%
96%
97%
98%
64%
95%
41%
75%
75%
75%
75%
83%
77%
76%
79%
94%
80%
54%
96%
68%
96%
94%
71%
81%
89%
97%
66%
50%
87%
83%
85%
93%
38%
71%
69%
98%
74%
97%
92%
88%
75%
75%
50%
69%
68%
94%
72%
95%
94%
81%
OPLEIDINGSNIVEAU
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
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3
3
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3
3
3
3
3
3
3
3
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3
3
3
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3
3
3
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3
3
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3
3
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3
3
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3
3
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3
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3
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3
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3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
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2
2
2
2
2
2
2
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2
2
2
2
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2
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2
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2
2
2
2
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2
2
2
2
2
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2
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2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1